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/ 央企","考公 / 考编","考研深造","本科直接就业","市场化高薪"],"planning_mode":"full","decision_maker":"学生","strong_subjects":["英语","数学","物理","化学"],"accept_intensive":true,"willing_graduate":true,"accept_adjustment":null,"adjustment_policy":"not_applicable","selected_subjects":["物理","化学","地理"],"accept_out_province":true,"prefer_home_province":"unsure"},"system_prompt":"slot_rating is the authoritative Stage3 structured field for safe_pool.\nRead the dynamic slot axis from the bucket package before making any structural explanation.\n- For every candidate you mention, echo candidate_id, source_bucket, and slot_rating exactly as provided.\n- You may not create candidates, remove candidate_id, or move a candidate between reach_pool, match_pool, and safe_pool.\n- You may not rewrite, compress, or alias slot_rating.\n- Your score, keep_priority, or ranking is only a within-slot soft signal; if uncertain, add risk_flags or uncertainty_reason instead of guessing.\n- Structural layering is a top-priority objective of this round.\n- Structural layering remains the highest-priority objective whenever it conflicts with weak or ambiguous preference signals.\n- slot_rating is a precomputed, read-only structural position label inside the candidate's own bucket.\n- slot_rating is assigned from the candidate's normalized score-delta layer inside the current bucket.\n- Numeric slot labels are ordinal score-layer indices, not abstract gradient tags.\n- Smaller slot numbers mean the candidate is closer to the upper score edge of that bucket.\n- Larger slot numbers mean the candidate is closer to the lower or buffer score edge of that bucket.\n- slot_rating is not a school quality score, not a major value score, and not a final recommendation strength score.\n- You must not modify, rename, reassign, or reinterpret slot_rating.\n- You must not reassign slot_rating.\n- Use slot_rating directly when assigning round_score.\n- round_score is the only scoring field in this round and must be an integer from 0 to 100.\n- round_score must already reflect both round-specific fit and structural usefulness under the existing slot_rating.\n- Do not output any penalty field or any secondary keep score.\n- Do not treat smaller slot numbers as automatically better.\n- Do not treat larger slot numbers as automatically worse.\n- If head slots are structurally overcrowded, lower round_score directly instead of using a separate penalty field.\n- If a middle or buffer candidate remains viable and helps preserve bucket layering, raise round_score directly.\n- round_score is a final integrated evaluation score, not a single-factor enthusiasm score.\n- First judge whether the candidate is supported by the main factor of this round.\n- Then check whether the candidate's slot_rating is already overcrowded inside its own bucket.\n- If many candidates are already concentrated in the same slot_rating, even a good candidate should be actively downscored.\n- If the slot_rating is relatively sparse and the candidate is still reasonable under this round's main factor, it should be actively upscored.\n- The final round_score must reflect both round-specific fit and the candidate's contribution to slot_rating structure dispersion.\n- round_score must not ignore slot_rating density.\n- It is invalid if most candidates sharing the same slot_rating still receive similarly high scores without any structural separation.\n- It is also invalid if slot_rating scarcity or overcrowding has no visible effect on the final round_score.\n- reasons[0] must explain why the candidate should receive this round_score under its existing slot_rating.\n- reasons[1] must explain the round-specific fit or conflict.\n- Invalid output warning: if most viable candidates fall into adjacent middle scores, if score gaps are only cosmetic, or if slot_rating no longer meaningfully affects the final round_score, the output is invalid.\n- Missing or weak user signal should produce cautious and mostly stable scoring, not random churn.\n- You must not choose final submission order.\n- You must not invent candidates or cross-bucket comparisons.\nadmission_rate must stay fixed to 保底 for every safe plan.\nUse slot_rating as the only structured ordering axis inside safe_pool.\nEvaluate all fields with strict evidence-bounded reasoning.\nOutput format:\n- Return a JSON object only.\n- Use exactly these fixed fields and do not add, remove, rename, or merge any fields:\n- civil_service_friendly\n- soe_fit\n- grad_boost\n- reason\n- risk\n- alternative\n- undergrad_employment\n- grad_employment\n- All field values must be written in Chinese.\n- Every field must contain substantive content.\nEvidence boundary:\n- Use only these evidence sources: bucket-package evidence, expert_enrichment, history, risk_flags, and stated student preferences.\n- Do not use unsupported assumptions, school fame, city popularity, or generic praise as evidence.\n- If the evidence is weak, incomplete, or indirect, stay conservative and say so explicitly.\n- If the evidence does not support a strong claim, state what is missing or uncertain.\nField separation:\n- Each evaluative field must answer a different question.\n- Do not reuse the same praise, prestige signal, or generic employment language across multiple fields unless the evidence truly supports different conclusions.\n- Do not let school prestige, city heat, or vague “good employment” claims fill every field.\n- Do not use broad positive filler to cover for weak evidence.\nField definitions:\n- civil_service_friendly: Judge only civil-service and public-institution friendliness, including compatibility with 考公、考编、选调、事业单位、公共治理类岗位.\n- Focus on major eligibility, breadth of matching岗位, exam-route compatibility, and whether the program helps entry into public-sector tracks.\n- Do not substitute general stability, school prestige, or overall employment quality.\n- soe_fit: Judge only compatibility with SOE / central-enterprise / infrastructure / energy / grid / transport / telecom / manufacturing / other regulated-industry employment paths.\n- Focus on major relevance, industry linkage, and downstream job coverage.\n- Do not equate this with generic “good employment”.\n- grad_boost: Judge only the value of this option for 考研、保研、继续深造、research-platform upgrade, and credential upside.\n- Focus on discipline continuity, platform resources, research atmosphere, and post-graduate path uplift.\n- “Can take graduate exams” alone is not sufficient evidence.\n- reason: Answer \"why this school-major should enter the volunteer list, and how the user should use it\".\n- reason 必须像给家长和学生看的决策说明，不要写成档位归类模板。\n- This field must clearly cover all four of the following information roles:\n- 1. 院校看点: explain the school itself, such as school level, regional recognition, industry links, city resources, discipline strengths, or employment influence when evidence exists.\n- 2. 专业价值: explain why the major fits the student path, including civil-service, SOE, banking, audit, finance, graduate-study, technical, or transferable career paths when relevant.\n- 3. 录取判断: explain the score/rank fit, historical boundary, plan count, subject or group constraints, and popularity volatility that support this bucket position.\n- 4. 填报动作: give a practical placement or pairing suggestion, such as 冲刺区前段/中段/后段、稳妥区主体、保底区承接, or what kind of lower-risk option should accompany it.\n- Start from the school itself when evidence is available; the user should learn what this school is worth considering for, not only why it belongs to a bucket.\n- Cite 1-2 concrete support signals when possible.\n- Do not write generic praise.\n- Do not use empty phrases such as “就业面广”, “学校层次高”, “值得冲一冲”, or “录取概率较高” unless immediately supported by concrete school, major, admission, or placement evidence.\n- Do not simply repeat visible label-style conclusions such as “冲/稳/保”, “true”, or similar tags.\n- Write it as a short natural recommendation explanation, not as a checklist.\n- risk: Answer \"what is the single biggest risk of this option\".\n- Be short, concrete, and direct.\n- Prioritize the most important uncertainty or cost first, such as tight rank margin, major heat volatility, plan changes, city acceptance, or path uncertainty.\n- Avoid generic filler unless tied to a specific trigger.\n- alternative: Provide a lower-risk alternative in the same direction.\n- Reduce risk through one clear dimension change, such as lower city competition, lower school tier, lower major heat, safer program-group, or stronger historical margin.\n- Do not jump to a completely different direction.\n- undergrad_employment: Describe the likely direct employment exits if the student stops at the undergraduate level.\n- Focus on “本科阶段直接出口”: which industries,岗位 types, employer scenarios, or regional job markets are most likely after undergraduate graduation.\n- grad_employment: Describe the likely upgraded employment exits after graduate study or further academic progression.\n- Focus on “深造后的升级出口”: which higher-end, research-oriented, platform-oriented, or stronger career paths become more accessible after graduate study.\n- It must not repeat undergrad_employment.\nField writing requirements:\n- civil_service_friendly, soe_fit, and grad_boost must follow their own definitions strictly.\n- If civil_service_friendly, soe_fit, or grad_boost is weak, explicitly explain why it is weak instead of using vague positive language.\n- reason should be concise, specific, evidence-bounded, and ideally 3-5 sentences.\n- risk should name the single biggest uncertainty first.\n- alternative must remain in the same direction and become safer through one clear change.\n- undergrad_employment and grad_employment must be clearly differentiated and non-redundant.\nQuality bar:\n- Every field must be specific, non-redundant, and traceable to evidence.\n- Prefer precise, caveated judgments over broad positive statements.\n- If evidence is limited, it is better to be conservative than to overclaim.\n\nYou are safe_pool 专属的高考志愿保底方案生成器。\n\nYou only process safe_pool candidates. You do not process reach_pool or match_pool.\nYour task is to select, sort, and generate up to 26 truly safe plans from the provided safe_pool package; if local candidates are fewer than 26, do not invent or pad.\nYou are not allowed to invent new candidates outside the provided safe_pool package.\n\n一、核心目标\nYou must keep only candidates that satisfy all three conditions:\n1. 更稳: they have stronger downside protection than match-tier options, not merely lower school prestige or lower score threshold.\n2. 可接受: the student and family can still realistically accept the city, school level, major path, and future direction.\n3. 可解释: every plan can clearly explain its safety basis, acceptance basis, and main risk.\n\nThe priority order for safe_pool is:\nadmission feasibility > no hard-constraint conflict > student/family acceptability > clear professional path > within-bucket ranking.\n\n二、硬性禁止\nYou must exclude any candidate with:\n- missing or incomplete school / major / program-group / key admissions information\n- placeholder content such as 待确认, 待核实, 专业待确认, 院校待确认, 某大学, 某专业, ???, ***\n- clearly insufficient evidence to explain why it is safer\n- explicit conflict with student hard constraints\n- fake-safe reasoning that only depends on lower school tier, weaker city, or colder major\n- high likelihood that the student/family would not actually accept it\n- obvious conflict with path_priority and no valid explanation\n- candidates that do not belong to safe_pool\n\n三、判定流程\nFor every candidate, reason internally in this exact order:\n1. admission feasibility judgment\n2. risk exclusion judgment\n3. acceptability judgment\n4. safety-value judgment\n5. within-bucket ordering\nDo not skip steps.\n\n四、优先保留\nPrefer candidates with:\n- clearer safety margin than match bucket\n- explicit evidence from rank / score / plan / major-group / history\n- complete major naming and clear training direction\n- relatively stable direct-undergrad employment path\n- acceptable graduate-study extension\n- no conflict with path_priority\n- city, school level, and institution type inside realistic family acceptance range\n- a clear but tolerable downside\n\n五、降权或排除\nDownrank or exclude candidates that:\n- prove safety only by lower score threshold\n- have unclear employment exit\n- obviously miss city preference\n- fall below school-level acceptance floor\n- clearly mismatch interests / strong subjects / path priorities\n- cannot support a concrete risk sentence\n- cannot offer a same-layer alternative\n\n六、输出要求\nReturn JSON only.\nTarget up to 26 plans; if candidate_table is undersized, output only the actual local candidates and mention local_candidate_shortage in bucket_summary.\nEvery plan.type must be exactly 保底.\nDo not output reach/match or other tier labels.\nDo not add schools or majors outside the provided safe_pool package.\nDo not invent score history, rank history, policies, or plan changes.\nIf evidence is insufficient, stay conservative and explicit about uncertainty.\n\n七、字段写法要求\nreason 必须像给家长和学生看的决策说明，不要写成“作为保底项……”这类档位归类模板。\n每条 reason 必须同时覆盖四类信息：\n1. 院校看点：说明学校本身值得看的地方，例如院校层次、区域认可度、行业资源、城市就业辐射、优势学科或平台价值；证据不足时要谨慎表达。\n2. 专业价值：说明该专业为什么匹配学生路径，例如考公、国企、银行、审计、财务、考研、技术岗或岗位迁移性。\n3. 录取判断：说明分数、位次、计划、历史边界、专业热度或专业组波动如何支撑其属于保底区。\n4. 填报动作：给出实际填报建议，例如作为保底区承接/底线项，是否保留，以及应搭配哪类同路径方案。\n不得空泛使用“就业面广”“学校层次高”“值得冲一冲”“录取概率较高”；如使用，必须紧跟具体院校、专业、录取或填报证据。\n\nrisk must be short, concrete, and focused on the main downside only.\nUse risk types such as:\n- 学校层次相对一般\n- 城市机会相对有限\n- 专业热度或行业弹性一般\n- 非目标城市\n- 非最优路径但可接受\n- 后续需复核招生计划或专业组变化\n\nalternative must stay near the same layer.\nIt should point to a similar school-level / city-range / professional-path / safety-profile alternative.\nDo not jump from safe items to obvious reach items.\n\n八、输出前自检\n- no more than 26 plans; fewer only when local candidates are insufficient or disqualified\n- every plan.type is exactly 保底\n- all plans come from safe_pool\n- no placeholders, no 待确认, no 待核实, no malformed major names\n- every plan explains why it is safer\n- every plan explains why it is still acceptable\n- every risk is concrete and non-generic\n- no fake-safe candidate justified only by lower score\n- no clear hard-constraint violation\n\nReturn strict JSON only.\n\nRequired JSON shape:\n{\n  \"bucket_summary\": \"string\",\n  \"plans\": [\n    {\n      \"type\": \"保底\",\n      \"school\": \"string\",\n      \"major\": \"string\",\n      \"admission_rate\": \"保底\",\n      \"civil_service_friendly\": \"string\",\n      \"soe_fit\": \"string\",\n      \"grad_boost\": \"string\",\n      \"reason\": \"string\",\n      \"risk\": \"string\",\n      \"alternative\": \"string\",\n      \"undergrad_employment\": \"string\",\n      \"grad_employment\": \"string\"\n    }\n  ]\n}","user_prompt":"请基于以下输入，只从 safe_pool 候选中生成 safe 桶志愿方案。\n\n你不能新增候选，不能输出其它桶，不能编造未提供的数据。\n请严格按照 System Prompt 的 safe_pool 判定流程执行。\n\n一、学生画像 student_form_json\n{\n  \"province\": \"山东\",\n  \"score\": \"600\",\n  \"rank\": null,\n  \"subject_type\": \"物理、化学、地理\",\n  \"gender\": \"男\",\n  \"target_city\": null,\n  \"accept_out_province\": true,\n  \"accept_adjustment\": null,\n  \"accept_intensive\": true,\n  \"willing_graduate\": true,\n  \"school_preference\": null,\n  \"prefer_home_province\": \"unsure\",\n  \"decision_maker\": \"学生\",\n  \"path_priority\": [\n    \"国企 / 央企\",\n    \"考公 / 考编\",\n    \"考研深造\",\n    \"本科直接就业\",\n    \"市场化高薪\"\n  ],\n  \"interests\": [],\n  \"strong_subjects\": [\n    \"英语\",\n    \"数学\",\n    \"物理\",\n    \"化学\"\n  ],\n  \"special_notes\": null,\n  \"medical_notes\": null\n}\n\n重点关注：province, score, rank, subject_type, accept_out_province, accept_intensive, willing_graduate, target_city, path_priority, interests, strong_subjects, school_preference, special_notes, medical_notes\n\n二、语义查询计划 semantic_query_plan_json\n{\n  \"version\": \"guided-semantic-query-plan-v1\",\n  \"hard_exclude_major_keywords\": [],\n  \"soft_avoid_major_keywords\": [],\n  \"risk_reminder_keywords\": [],\n  \"preferred_major_keywords\": [\n    \"计算机\",\n    \"电气\",\n    \"自动化\",\n    \"电子信息\",\n    \"软件\",\n    \"机械\",\n    \"材料\",\n    \"金融\",\n    \"会计\",\n    \"法学\",\n    \"临床医学\",\n    \"人工智能\",\n    \"数据科学\",\n    \"大数据\",\n    \"通信\",\n    \"土木\"\n  ],\n  \"school_or_region_keywords\": [],\n  \"query_strategy\": {\n    \"province_scope\": \"national\",\n    \"rank_window\": \"normal\",\n    \"candidate_target_count\": 240\n  },\n  \"interpretation_notes\": [\n    \"学生接受出省，故全国范围检索。\",\n    \"学生未明确偏好本省，故不限制省份。\",\n    \"学生接受高强度学习，故不排除任何专业。\",\n    \"学生职业路径优先国企/央企和考公考编，故推荐工科和考公热门专业。\",\n    \"学生优势科目为英语、数学、物理、化学，故推荐相关工科专业。\",\n    \"学生未表达任何排斥或风险偏好，故无硬排除、软回避或风险提醒。\"\n  ]\n}\n\n重点关注：hard constraints, soft avoid, high-risk reminders, preference keep, path priority interpretation\n\n三、safe 桶候选包 safe_bucket_package_json\n{\n  \"bucket_name\": \"safe_pool\",\n  \"quota\": 26,\n  \"candidate_table\": [\n    {\n      \"candidate_id\": \"local_fdb994808105\",\n      \"school\": \"西安工业大学\",\n      \"major\": \"会计学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43903，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0b2ed9648f0f\",\n      \"school\": \"吉林财经大学\",\n      \"major\": \"会计学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43742，计划 6\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_62d9928864ba\",\n      \"school\": \"武汉工程大学\",\n      \"major\": \"机械设计制造及其自动化(智能制造方向)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42763，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b94c60e79b21\",\n      \"school\": \"上海大学\",\n      \"major\": \"土木工程(中外合作办学)(与葡萄牙里斯本大学合作)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43902，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_442ccd304b01\",\n      \"school\": \"重庆理工大学\",\n      \"major\": \"自动化(两江校区)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42758，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_6952a530da77\",\n      \"school\": \"黑龙江大学\",\n      \"major\": \"计算机科学与技术\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42646，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0c6a1212d2df\",\n      \"school\": \"青岛科技大学\",\n      \"major\": \"计算机科学与技术\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46059，计划 52\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_63500b027849\",\n      \"school\": \"新疆大学\",\n      \"major\": \"软件工程(数学单科成绩不低于90分；国家级一流本科专业；含1个俄语言特色班)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46148，计划 30\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_6102dbffce50\",\n      \"school\": \"武汉工程大学\",\n      \"major\": \"会计学(ACCA国际注册会计师方向)(除基础学费外，另外单独收取课程培训费1.2万元/年)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 45143，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_f6535afa2b79\",\n      \"school\": \"兰州交通大学\",\n      \"major\": \"电气工程及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 45074，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_59d53627fde7\",\n      \"school\": \"成都理工大学\",\n      \"major\": \"计算机科学与技术(中外合作办学)(4+0模式，成都校区就读；无英语单科要求，全英文小班授课；毕业颁发成都理工大学本科毕业证书、工学学士学位证书和英国牛津布鲁克斯大学计算机科学理学学士学位证书；不能准确在显示器上识别红、黄、绿、兰、紫各颜色中任何一种颜色的数码、字母者不能录取)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      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\"青海大学\",\n      \"major\": \"金融学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48219，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_1eb134e2cc62\",\n      \"school\": \"安徽理工大学\",\n      \"major\": \"电气工程及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 47053，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_703b51db369d\",\n      \"school\": \"南京工程学院\",\n      \"major\": \"电气工程及其自动化(中外合作办学)(与英国诺森比亚大学“3+1”双学位培养模式)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48275，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_f125f4baffca\",\n      \"school\": \"华东交通大学\",\n      \"major\": \"计算机科学与技术(基础学科拔尖人才培养基地。第1年在进贤教学点就读，后3年在校本部就读)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 46998，计划 7\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_80c5b7be8bd7\",\n      \"school\": \"杭州师范大学\",\n      \"major\": \"临床医学(第一、二、三学年在仓前校区，第四学年起在杭州市金华路120号)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_07\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 573，位次 49316，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_fd6984571d9e\",\n      \"school\": \"东北电力大学\",\n      \"major\": \"自动化(国际创新课程ICC项目)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_08\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 572，位次 50519，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_2eb3e19cf1ef\",\n      \"school\": \"中北大学\",\n      \"major\": \"机械设计制造及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_08\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 572，位次 50527，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_a2a3ed864976\",\n      \"school\": \"江西财经大学\",\n      \"major\": \"数据科学与大数据技术(智能量化投资)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_07\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 573，位次 49324，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b38fd8d0fcf7\",\n      \"school\": \"沈阳建筑大学\",\n      \"major\": \"机械设计制造及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_10\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 570，位次 52929，计划 1\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_c7bd97616c21\",\n      \"school\": \"安徽师范大学\",\n      \"major\": \"电子信息工程\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_10\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 570，位次 52964，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0ce675df1333\",\n      \"school\": \"黑龙江大学\",\n      \"major\": \"自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_09\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 571，位次 51789，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_4873465eebd3\",\n      \"school\": \"华东交通大学\",\n      \"major\": \"软件工程(软件开发技术)(第1年在进贤教学点就读，后3年在校本部就读)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_09\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 571，位次 51743，计划 3\",\n      \"risk_flags\": []\n    }\n  ],\n  \"recall_summary\": {\n    \"reference_pool\": {\n      \"pool_name\": \"safe_pool\",\n      \"slice_engine\": \"safe_slice_v2_slot_axis\",\n      \"raw_rows\": 1211,\n      \"after_selection_requirements\": 1158,\n      \"after_semantic_keywords\": 260,\n      \"returned_count\": 260,\n      \"adaptive_window_enabled\": false,\n      \"cohort_size\": null,\n      \"user_percentile\": null,\n      \"accepted_ladder_level\": null,\n      \"accepted_gap_pp_min\": null,\n      \"accepted_gap_pp_max\": null,\n      \"accepted_rank_min\": null,\n      \"accepted_rank_max\": null,\n      \"equivalent_score\": 600,\n      \"equivalent_score_source_year\": null,\n      \"equivalent_score_source_scope\": null,\n      \"equivalent_score_source_basis\": \"input_score\",\n      \"bucket_score_window\": [\n        570,\n        579\n      ],\n      \"probe_counts_by_level\": [],\n      \"effective_count\": 260,\n      \"overflow\": false,\n      \"underfilled_by_supply\": false,\n      \"excluded_by_selection_requirements\": 53,\n      \"excluded_by_semantic_keywords\": 0,\n      \"excluded_by_major_include_keywords\": 0,\n      \"excluded_by_canonical_major\": 898,\n      \"source_tables\": [\n        \"admission_slice_index\"\n      ],\n      \"bucket_program_score_formula\": \"safety_strength_score*0.35 + acceptance_score*0.25 + evidence_quality_score*0.20 + official_match_score*0.15 - school_density_penalty*0.05\",\n      \"province\": \"山东\",\n      \"rank_used\": null,\n      \"score_used\": 600,\n      \"score_rank_baseline\": {\n        \"rank_used\": null,\n        \"input_score\": 600,\n        \"calibrated_score\": 600,\n        \"used_rank_equivalent_score\": false,\n        \"score_conflict_gap\": null,\n        \"equivalent_score_source_year\": null,\n        \"equivalent_score_source_scope\": null,\n        \"equivalent_score_source_basis\": null\n      },\n      \"selected_subjects\": [\n        \"物理\",\n        \"化学\",\n        \"地理\"\n      ],\n      \"physical_slice_isolation\": true\n    },\n    \"candidate_table_count\": 26\n  },\n  \"data_boundary_notes\": [\n    \"本地数据只包含录取事实字段，不包含学习强度、就业压力等长期语义画像。\",\n    \"三桶参考池仅用于提供机械切片基座；reach / match / safe 会先分别完成四轮处理与分桶生成，随后再进入共享叙述层与程序总装。\",\n    \"如果 ranked_candidates 附带 expert_enrichment，它来自专家版本地表，适合用于报告解释、专业特点补充和风险提醒，不能代替当年官方投档事实。\",\n    \"最终填报仍必须核验山东省教育招生考试院、阳光志愿、院校招生章程、选科与体检限制。\"\n  ]\n}\n\n候选包可能包含：candidate_table.safe_pool, bucket_pipeline.safe_pool, ranked_candidates 中属于 safe_pool 的项, expert_enrichment, history, risk_flags, evidence_summary。\n你必须优先使用候选包中的证据进行判断。\n\n四、输出要求\n请输出 JSON only，结构如下：\n{\n  \"bucket_summary\": \"string\",\n  \"plans\": [\n    {\n      \"type\": \"保底\",\n      \"school\": \"string\",\n      \"major\": \"string\",\n      \"admission_rate\": \"保底\",\n      \"civil_service_friendly\": \"string\",\n      \"soe_fit\": \"string\",\n      \"grad_boost\": \"string\",\n      \"reason\": \"string\",\n      \"risk\": \"string\",\n      \"alternative\": \"string\",\n      \"undergrad_employment\": \"string\",\n      \"grad_employment\": \"string\"\n    }\n  ]\n}\n\n硬性要求：plans 最多 26 条；如果候选包 candidate_table 少于该数量，只能输出实际本地候选，不得补造；每条 type 必须是“保底”；school 和 major 必须完整；reason 必须同时写清“院校看点 + 专业价值 + 录取判断 + 填报动作”；risk 必须短、具体；alternative 必须是相近替代方向；不允许输出任何 JSON 之外的内容。","canonical_request_json":{"body":{"model":"deepseek-chat","messages":[{"role":"system","content":"slot_rating is the authoritative Stage3 structured field for safe_pool.\nRead the dynamic slot axis from the bucket package before making any structural explanation.\n- For every candidate you mention, echo candidate_id, source_bucket, and slot_rating exactly as provided.\n- You may not create candidates, remove candidate_id, or move a candidate between reach_pool, match_pool, and safe_pool.\n- You may not rewrite, compress, or alias slot_rating.\n- Your score, keep_priority, or ranking is only a within-slot soft signal; if uncertain, add risk_flags or uncertainty_reason instead of guessing.\n- Structural layering is a top-priority objective of this round.\n- Structural layering remains the highest-priority objective whenever it conflicts with weak or ambiguous preference signals.\n- slot_rating is a precomputed, read-only structural position label inside the candidate's own bucket.\n- slot_rating is assigned from the candidate's normalized score-delta layer inside the current bucket.\n- Numeric slot labels are ordinal score-layer indices, not abstract gradient tags.\n- Smaller slot numbers mean the candidate is closer to the upper score edge of that bucket.\n- Larger slot numbers mean the candidate is closer to the lower or buffer score edge of that bucket.\n- slot_rating is not a school quality score, not a major value score, and not a final recommendation strength score.\n- You must not modify, rename, reassign, or reinterpret slot_rating.\n- You must not reassign slot_rating.\n- Use slot_rating directly when assigning round_score.\n- round_score is the only scoring field in this round and must be an integer from 0 to 100.\n- round_score must already reflect both round-specific fit and structural usefulness under the existing slot_rating.\n- Do not output any penalty field or any secondary keep score.\n- Do not treat smaller slot numbers as automatically better.\n- Do not treat larger slot numbers as automatically worse.\n- If head slots are structurally overcrowded, lower round_score directly instead of using a separate penalty field.\n- If a middle or buffer candidate remains viable and helps preserve bucket layering, raise round_score directly.\n- round_score is a final integrated evaluation score, not a single-factor enthusiasm score.\n- First judge whether the candidate is supported by the main factor of this round.\n- Then check whether the candidate's slot_rating is already overcrowded inside its own bucket.\n- If many candidates are already concentrated in the same slot_rating, even a good candidate should be actively downscored.\n- If the slot_rating is relatively sparse and the candidate is still reasonable under this round's main factor, it should be actively upscored.\n- The final round_score must reflect both round-specific fit and the candidate's contribution to slot_rating structure dispersion.\n- round_score must not ignore slot_rating density.\n- It is invalid if most candidates sharing the same slot_rating still receive similarly high scores without any structural separation.\n- It is also invalid if slot_rating scarcity or overcrowding has no visible effect on the final round_score.\n- reasons[0] must explain why the candidate should receive this round_score under its existing slot_rating.\n- reasons[1] must explain the round-specific fit or conflict.\n- Invalid output warning: if most viable candidates fall into adjacent middle scores, if score gaps are only cosmetic, or if slot_rating no longer meaningfully affects the final round_score, the output is invalid.\n- Missing or weak user signal should produce cautious and mostly stable scoring, not random churn.\n- You must not choose final submission order.\n- You must not invent candidates or cross-bucket comparisons.\nadmission_rate must stay fixed to 保底 for every safe plan.\nUse slot_rating as the only structured ordering axis inside safe_pool.\nEvaluate all fields with strict evidence-bounded reasoning.\nOutput format:\n- Return a JSON object only.\n- Use exactly these fixed fields and do not add, remove, rename, or merge any fields:\n- civil_service_friendly\n- soe_fit\n- grad_boost\n- reason\n- risk\n- alternative\n- undergrad_employment\n- grad_employment\n- All field values must be written in Chinese.\n- Every field must contain substantive content.\nEvidence boundary:\n- Use only these evidence sources: bucket-package evidence, expert_enrichment, history, risk_flags, and stated student preferences.\n- Do not use unsupported assumptions, school fame, city popularity, or generic praise as evidence.\n- If the evidence is weak, incomplete, or indirect, stay conservative and say so explicitly.\n- If the evidence does not support a strong claim, state what is missing or uncertain.\nField separation:\n- Each evaluative field must answer a different question.\n- Do not reuse the same praise, prestige signal, or generic employment language across multiple fields unless the evidence truly supports different conclusions.\n- Do not let school prestige, city heat, or vague “good employment” claims fill every field.\n- Do not use broad positive filler to cover for weak evidence.\nField definitions:\n- civil_service_friendly: Judge only civil-service and public-institution friendliness, including compatibility with 考公、考编、选调、事业单位、公共治理类岗位.\n- Focus on major eligibility, breadth of matching岗位, exam-route compatibility, and whether the program helps entry into public-sector tracks.\n- Do not substitute general stability, school prestige, or overall employment quality.\n- soe_fit: Judge only compatibility with SOE / central-enterprise / infrastructure / energy / grid / transport / telecom / manufacturing / other regulated-industry employment paths.\n- Focus on major relevance, industry linkage, and downstream job coverage.\n- Do not equate this with generic “good employment”.\n- grad_boost: Judge only the value of this option for 考研、保研、继续深造、research-platform upgrade, and credential upside.\n- Focus on discipline continuity, platform resources, research atmosphere, and post-graduate path uplift.\n- “Can take graduate exams” alone is not sufficient evidence.\n- reason: Answer \"why this school-major should enter the volunteer list, and how the user should use it\".\n- reason 必须像给家长和学生看的决策说明，不要写成档位归类模板。\n- This field must clearly cover all four of the following information roles:\n- 1. 院校看点: explain the school itself, such as school level, regional recognition, industry links, city resources, discipline strengths, or employment influence when evidence exists.\n- 2. 专业价值: explain why the major fits the student path, including civil-service, SOE, banking, audit, finance, graduate-study, technical, or transferable career paths when relevant.\n- 3. 录取判断: explain the score/rank fit, historical boundary, plan count, subject or group constraints, and popularity volatility that support this bucket position.\n- 4. 填报动作: give a practical placement or pairing suggestion, such as 冲刺区前段/中段/后段、稳妥区主体、保底区承接, or what kind of lower-risk option should accompany it.\n- Start from the school itself when evidence is available; the user should learn what this school is worth considering for, not only why it belongs to a bucket.\n- Cite 1-2 concrete support signals when possible.\n- Do not write generic praise.\n- Do not use empty phrases such as “就业面广”, “学校层次高”, “值得冲一冲”, or “录取概率较高” unless immediately supported by concrete school, major, admission, or placement evidence.\n- Do not simply repeat visible label-style conclusions such as “冲/稳/保”, “true”, or similar tags.\n- Write it as a short natural recommendation explanation, not as a checklist.\n- risk: Answer \"what is the single biggest risk of this option\".\n- Be short, concrete, and direct.\n- Prioritize the most important uncertainty or cost first, such as tight rank margin, major heat volatility, plan changes, city acceptance, or path uncertainty.\n- Avoid generic filler unless tied to a specific trigger.\n- alternative: Provide a lower-risk alternative in the same direction.\n- Reduce risk through one clear dimension change, such as lower city competition, lower school tier, lower major heat, safer program-group, or stronger historical margin.\n- Do not jump to a completely different direction.\n- undergrad_employment: Describe the likely direct employment exits if the student stops at the undergraduate level.\n- Focus on “本科阶段直接出口”: which industries,岗位 types, employer scenarios, or regional job markets are most likely after undergraduate graduation.\n- grad_employment: Describe the likely upgraded employment exits after graduate study or further academic progression.\n- Focus on “深造后的升级出口”: which higher-end, research-oriented, platform-oriented, or stronger career paths become more accessible after graduate study.\n- It must not repeat undergrad_employment.\nField writing requirements:\n- civil_service_friendly, soe_fit, and grad_boost must follow their own definitions strictly.\n- If civil_service_friendly, soe_fit, or grad_boost is weak, explicitly explain why it is weak instead of using vague positive language.\n- reason should be concise, specific, evidence-bounded, and ideally 3-5 sentences.\n- risk should name the single biggest uncertainty first.\n- alternative must remain in the same direction and become safer through one clear change.\n- undergrad_employment and grad_employment must be clearly differentiated and non-redundant.\nQuality bar:\n- Every field must be specific, non-redundant, and traceable to evidence.\n- Prefer precise, caveated judgments over broad positive statements.\n- If evidence is limited, it is better to be conservative than to overclaim.\n\nYou are safe_pool 专属的高考志愿保底方案生成器。\n\nYou only process safe_pool candidates. You do not process reach_pool or match_pool.\nYour task is to select, sort, and generate up to 26 truly safe plans from the provided safe_pool package; if local candidates are fewer than 26, do not invent or pad.\nYou are not allowed to invent new candidates outside the provided safe_pool package.\n\n一、核心目标\nYou must keep only candidates that satisfy all three conditions:\n1. 更稳: they have stronger downside protection than match-tier options, not merely lower school prestige or lower score threshold.\n2. 可接受: the student and family can still realistically accept the city, school level, major path, and future direction.\n3. 可解释: every plan can clearly explain its safety basis, acceptance basis, and main risk.\n\nThe priority order for safe_pool is:\nadmission feasibility > no hard-constraint conflict > student/family acceptability > clear professional path > within-bucket ranking.\n\n二、硬性禁止\nYou must exclude any candidate with:\n- missing or incomplete school / major / program-group / key admissions information\n- placeholder content such as 待确认, 待核实, 专业待确认, 院校待确认, 某大学, 某专业, ???, ***\n- clearly insufficient evidence to explain why it is safer\n- explicit conflict with student hard constraints\n- fake-safe reasoning that only depends on lower school tier, weaker city, or colder major\n- high likelihood that the student/family would not actually accept it\n- obvious conflict with path_priority and no valid explanation\n- candidates that do not belong to safe_pool\n\n三、判定流程\nFor every candidate, reason internally in this exact order:\n1. admission feasibility judgment\n2. risk exclusion judgment\n3. acceptability judgment\n4. safety-value judgment\n5. within-bucket ordering\nDo not skip steps.\n\n四、优先保留\nPrefer candidates with:\n- clearer safety margin than match bucket\n- explicit evidence from rank / score / plan / major-group / history\n- complete major naming and clear training direction\n- relatively stable direct-undergrad employment path\n- acceptable graduate-study extension\n- no conflict with path_priority\n- city, school level, and institution type inside realistic family acceptance range\n- a clear but tolerable downside\n\n五、降权或排除\nDownrank or exclude candidates that:\n- prove safety only by lower score threshold\n- have unclear employment exit\n- obviously miss city preference\n- fall below school-level acceptance floor\n- clearly mismatch interests / strong subjects / path priorities\n- cannot support a concrete risk sentence\n- cannot offer a same-layer alternative\n\n六、输出要求\nReturn JSON only.\nTarget up to 26 plans; if candidate_table is undersized, output only the actual local candidates and mention local_candidate_shortage in bucket_summary.\nEvery plan.type must be exactly 保底.\nDo not output reach/match or other tier labels.\nDo not add schools or majors outside the provided safe_pool package.\nDo not invent score history, rank history, policies, or plan changes.\nIf evidence is insufficient, stay conservative and explicit about uncertainty.\n\n七、字段写法要求\nreason 必须像给家长和学生看的决策说明，不要写成“作为保底项……”这类档位归类模板。\n每条 reason 必须同时覆盖四类信息：\n1. 院校看点：说明学校本身值得看的地方，例如院校层次、区域认可度、行业资源、城市就业辐射、优势学科或平台价值；证据不足时要谨慎表达。\n2. 专业价值：说明该专业为什么匹配学生路径，例如考公、国企、银行、审计、财务、考研、技术岗或岗位迁移性。\n3. 录取判断：说明分数、位次、计划、历史边界、专业热度或专业组波动如何支撑其属于保底区。\n4. 填报动作：给出实际填报建议，例如作为保底区承接/底线项，是否保留，以及应搭配哪类同路径方案。\n不得空泛使用“就业面广”“学校层次高”“值得冲一冲”“录取概率较高”；如使用，必须紧跟具体院校、专业、录取或填报证据。\n\nrisk must be short, concrete, and focused on the main downside only.\nUse risk types such as:\n- 学校层次相对一般\n- 城市机会相对有限\n- 专业热度或行业弹性一般\n- 非目标城市\n- 非最优路径但可接受\n- 后续需复核招生计划或专业组变化\n\nalternative must stay near the same layer.\nIt should point to a similar school-level / city-range / professional-path / safety-profile alternative.\nDo not jump from safe items to obvious reach items.\n\n八、输出前自检\n- no more than 26 plans; fewer only when local candidates are insufficient or disqualified\n- every plan.type is exactly 保底\n- all plans come from safe_pool\n- no placeholders, no 待确认, no 待核实, no malformed major names\n- every plan explains why it is safer\n- every plan explains why it is still acceptable\n- every risk is concrete and non-generic\n- no fake-safe candidate justified only by lower score\n- no clear hard-constraint violation\n\nReturn strict JSON only.\n\nRequired JSON shape:\n{\n  \"bucket_summary\": \"string\",\n  \"plans\": [\n    {\n      \"type\": \"保底\",\n      \"school\": \"string\",\n      \"major\": \"string\",\n      \"admission_rate\": \"保底\",\n      \"civil_service_friendly\": \"string\",\n      \"soe_fit\": \"string\",\n      \"grad_boost\": \"string\",\n      \"reason\": \"string\",\n      \"risk\": \"string\",\n      \"alternative\": \"string\",\n      \"undergrad_employment\": \"string\",\n      \"grad_employment\": \"string\"\n    }\n  ]\n}"},{"role":"user","content":"请基于以下输入，只从 safe_pool 候选中生成 safe 桶志愿方案。\n\n你不能新增候选，不能输出其它桶，不能编造未提供的数据。\n请严格按照 System Prompt 的 safe_pool 判定流程执行。\n\n一、学生画像 student_form_json\n{\n  \"province\": \"山东\",\n  \"score\": \"600\",\n  \"rank\": null,\n  \"subject_type\": \"物理、化学、地理\",\n  \"gender\": \"男\",\n  \"target_city\": null,\n  \"accept_out_province\": true,\n  \"accept_adjustment\": null,\n  \"accept_intensive\": true,\n  \"willing_graduate\": true,\n  \"school_preference\": null,\n  \"prefer_home_province\": \"unsure\",\n  \"decision_maker\": \"学生\",\n  \"path_priority\": [\n    \"国企 / 央企\",\n    \"考公 / 考编\",\n    \"考研深造\",\n    \"本科直接就业\",\n    \"市场化高薪\"\n  ],\n  \"interests\": [],\n  \"strong_subjects\": [\n    \"英语\",\n    \"数学\",\n    \"物理\",\n    \"化学\"\n  ],\n  \"special_notes\": null,\n  \"medical_notes\": null\n}\n\n重点关注：province, score, rank, subject_type, accept_out_province, accept_intensive, willing_graduate, target_city, path_priority, interests, strong_subjects, school_preference, special_notes, medical_notes\n\n二、语义查询计划 semantic_query_plan_json\n{\n  \"version\": \"guided-semantic-query-plan-v1\",\n  \"hard_exclude_major_keywords\": [],\n  \"soft_avoid_major_keywords\": [],\n  \"risk_reminder_keywords\": [],\n  \"preferred_major_keywords\": [\n    \"计算机\",\n    \"电气\",\n    \"自动化\",\n    \"电子信息\",\n    \"软件\",\n    \"机械\",\n    \"材料\",\n    \"金融\",\n    \"会计\",\n    \"法学\",\n    \"临床医学\",\n    \"人工智能\",\n    \"数据科学\",\n    \"大数据\",\n    \"通信\",\n    \"土木\"\n  ],\n  \"school_or_region_keywords\": [],\n  \"query_strategy\": {\n    \"province_scope\": \"national\",\n    \"rank_window\": \"normal\",\n    \"candidate_target_count\": 240\n  },\n  \"interpretation_notes\": [\n    \"学生接受出省，故全国范围检索。\",\n    \"学生未明确偏好本省，故不限制省份。\",\n    \"学生接受高强度学习，故不排除任何专业。\",\n    \"学生职业路径优先国企/央企和考公考编，故推荐工科和考公热门专业。\",\n    \"学生优势科目为英语、数学、物理、化学，故推荐相关工科专业。\",\n    \"学生未表达任何排斥或风险偏好，故无硬排除、软回避或风险提醒。\"\n  ]\n}\n\n重点关注：hard constraints, soft avoid, high-risk reminders, preference keep, path priority interpretation\n\n三、safe 桶候选包 safe_bucket_package_json\n{\n  \"bucket_name\": \"safe_pool\",\n  \"quota\": 26,\n  \"candidate_table\": [\n    {\n      \"candidate_id\": \"local_fdb994808105\",\n      \"school\": \"西安工业大学\",\n      \"major\": \"会计学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43903，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0b2ed9648f0f\",\n      \"school\": \"吉林财经大学\",\n      \"major\": \"会计学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43742，计划 6\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_62d9928864ba\",\n      \"school\": \"武汉工程大学\",\n      \"major\": \"机械设计制造及其自动化(智能制造方向)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42763，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b94c60e79b21\",\n      \"school\": \"上海大学\",\n      \"major\": \"土木工程(中外合作办学)(与葡萄牙里斯本大学合作)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43902，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_442ccd304b01\",\n      \"school\": \"重庆理工大学\",\n      \"major\": \"自动化(两江校区)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42758，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_6952a530da77\",\n      \"school\": \"黑龙江大学\",\n      \"major\": \"计算机科学与技术\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42646，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0c6a1212d2df\",\n      \"school\": \"青岛科技大学\",\n      \"major\": \"计算机科学与技术\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46059，计划 52\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_63500b027849\",\n      \"school\": \"新疆大学\",\n      \"major\": \"软件工程(数学单科成绩不低于90分；国家级一流本科专业；含1个俄语言特色班)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46148，计划 30\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_6102dbffce50\",\n      \"school\": \"武汉工程大学\",\n      \"major\": \"会计学(ACCA国际注册会计师方向)(除基础学费外，另外单独收取课程培训费1.2万元/年)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 45143，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_f6535afa2b79\",\n      \"school\": \"兰州交通大学\",\n      \"major\": \"电气工程及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 45074，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_59d53627fde7\",\n      \"school\": \"成都理工大学\",\n      \"major\": \"计算机科学与技术(中外合作办学)(4+0模式，成都校区就读；无英语单科要求，全英文小班授课；毕业颁发成都理工大学本科毕业证书、工学学士学位证书和英国牛津布鲁克斯大学计算机科学理学学士学位证书；不能准确在显示器上识别红、黄、绿、兰、紫各颜色中任何一种颜色的数码、字母者不能录取)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46167，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_7b5a61bd4ba1\",\n      \"school\": \"成都理工大学\",\n      \"major\": \"会计学(中外合作办学)(4+0模式，成都校区就读；无英语单科要求，全英文小班授课；毕业颁发成都理工大学本科毕业证书、管理学学士学位证书和英国牛津布鲁克斯大学会计学理学学士学位证书)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 44899，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b5051ab27e25\",\n      \"school\": \"贵州医科大学\",\n      \"major\": \"临床医学(色弱、色盲、单色不能识别者不予录取)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48259，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_947f9d231e51\",\n      \"school\": \"哈尔滨理工大学\",\n      \"major\": \"自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 47118，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_23408b9022aa\",\n      \"school\": \"青海大学\",\n      \"major\": \"金融学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48219，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_1eb134e2cc62\",\n      \"school\": \"安徽理工大学\",\n      \"major\": \"电气工程及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 47053，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_703b51db369d\",\n      \"school\": \"南京工程学院\",\n      \"major\": \"电气工程及其自动化(中外合作办学)(与英国诺森比亚大学“3+1”双学位培养模式)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48275，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_f125f4baffca\",\n      \"school\": \"华东交通大学\",\n      \"major\": \"计算机科学与技术(基础学科拔尖人才培养基地。第1年在进贤教学点就读，后3年在校本部就读)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 46998，计划 7\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_80c5b7be8bd7\",\n      \"school\": \"杭州师范大学\",\n      \"major\": \"临床医学(第一、二、三学年在仓前校区，第四学年起在杭州市金华路120号)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_07\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 573，位次 49316，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_fd6984571d9e\",\n      \"school\": \"东北电力大学\",\n      \"major\": \"自动化(国际创新课程ICC项目)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_08\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 572，位次 50519，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_2eb3e19cf1ef\",\n      \"school\": \"中北大学\",\n      \"major\": \"机械设计制造及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_08\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 572，位次 50527，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_a2a3ed864976\",\n      \"school\": \"江西财经大学\",\n      \"major\": \"数据科学与大数据技术(智能量化投资)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_07\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 573，位次 49324，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b38fd8d0fcf7\",\n      \"school\": \"沈阳建筑大学\",\n      \"major\": \"机械设计制造及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_10\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 570，位次 52929，计划 1\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_c7bd97616c21\",\n      \"school\": \"安徽师范大学\",\n      \"major\": \"电子信息工程\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_10\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 570，位次 52964，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0ce675df1333\",\n      \"school\": \"黑龙江大学\",\n      \"major\": \"自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_09\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 571，位次 51789，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_4873465eebd3\",\n      \"school\": \"华东交通大学\",\n      \"major\": \"软件工程(软件开发技术)(第1年在进贤教学点就读，后3年在校本部就读)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_09\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 571，位次 51743，计划 3\",\n      \"risk_flags\": []\n    }\n  ],\n  \"bucket_pipeline\": {\n    \"ai_round_filter_applied\": true,\n    \"candidate_cards_count\": 26,\n    \"final_candidates_count\": 26,\n    \"slot_axis\": [\n      {\n        \"slot_rating\": \"slot_01\",\n        \"score_delta\": -21\n      },\n      {\n        \"slot_rating\": \"slot_02\",\n        \"score_delta\": -22\n      },\n      {\n        \"slot_rating\": \"slot_03\",\n        \"score_delta\": -23\n      },\n      {\n        \"slot_rating\": \"slot_04\",\n        \"score_delta\": -24\n      },\n      {\n        \"slot_rating\": \"slot_05\",\n        \"score_delta\": -25\n      },\n      {\n        \"slot_rating\": \"slot_06\",\n        \"score_delta\": -26\n      },\n      {\n        \"slot_rating\": \"slot_07\",\n        \"score_delta\": -27\n      },\n      {\n        \"slot_rating\": \"slot_08\",\n        \"score_delta\": -28\n      },\n      {\n        \"slot_rating\": \"slot_09\",\n        \"score_delta\": -29\n      },\n      {\n        \"slot_rating\": \"slot_10\",\n        \"score_delta\": -30\n      }\n    ],\n    \"slot_count\": 10,\n    \"head_slot\": \"slot_01\",\n    \"tail_slot\": \"slot_10\",\n    \"slot_rating_counts\": {},\n    \"final_slot_counts\": {},\n    \"final_available_slot_counts\": {},\n    \"round1\": {\n      \"kept\": 26,\n      \"downranked\": 0,\n      \"excluded\": 0\n    },\n    \"round2\": {\n      \"eligible\": 26,\n      \"high_risk\": 0,\n      \"excluded_by_constraints\": 0\n    },\n    \"round3\": {\n      \"ranked_count\": 26,\n      \"excluded_by_round3\": 0,\n      \"path_fit_summary\": [],\n      \"tradeoff_notes\": []\n    },\n    \"round4\": {\n      \"candidate_cards_count\": 26,\n      \"excluded_by_round4\": 0,\n      \"bucket_risk_notes\": [],\n      \"bucket_diversity_notes\": []\n    },\n    \"final_slot_notes\": []\n  },\n  \"ranked_candidates\": [\n    {\n      \"candidate_id\": \"local_fdb994808105\",\n      \"school\": \"西安工业大学\",\n      \"major\": \"会计学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43903，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0b2ed9648f0f\",\n      \"school\": \"吉林财经大学\",\n      \"major\": \"会计学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43742，计划 6\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_62d9928864ba\",\n      \"school\": \"武汉工程大学\",\n      \"major\": \"机械设计制造及其自动化(智能制造方向)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42763，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b94c60e79b21\",\n      \"school\": \"上海大学\",\n      \"major\": \"土木工程(中外合作办学)(与葡萄牙里斯本大学合作)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_02\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 578，位次 43902，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_442ccd304b01\",\n      \"school\": \"重庆理工大学\",\n      \"major\": \"自动化(两江校区)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42758，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_6952a530da77\",\n      \"school\": \"黑龙江大学\",\n      \"major\": \"计算机科学与技术\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_01\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 579，位次 42646，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0c6a1212d2df\",\n      \"school\": \"青岛科技大学\",\n      \"major\": \"计算机科学与技术\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46059，计划 52\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_63500b027849\",\n      \"school\": \"新疆大学\",\n      \"major\": \"软件工程(数学单科成绩不低于90分；国家级一流本科专业；含1个俄语言特色班)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46148，计划 30\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_6102dbffce50\",\n      \"school\": \"武汉工程大学\",\n      \"major\": \"会计学(ACCA国际注册会计师方向)(除基础学费外，另外单独收取课程培训费1.2万元/年)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 45143，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_f6535afa2b79\",\n      \"school\": \"兰州交通大学\",\n      \"major\": \"电气工程及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 45074，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_59d53627fde7\",\n      \"school\": \"成都理工大学\",\n      \"major\": \"计算机科学与技术(中外合作办学)(4+0模式，成都校区就读；无英语单科要求，全英文小班授课；毕业颁发成都理工大学本科毕业证书、工学学士学位证书和英国牛津布鲁克斯大学计算机科学理学学士学位证书；不能准确在显示器上识别红、黄、绿、兰、紫各颜色中任何一种颜色的数码、字母者不能录取)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_04\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 576，位次 46167，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_7b5a61bd4ba1\",\n      \"school\": \"成都理工大学\",\n      \"major\": \"会计学(中外合作办学)(4+0模式，成都校区就读；无英语单科要求，全英文小班授课；毕业颁发成都理工大学本科毕业证书、管理学学士学位证书和英国牛津布鲁克斯大学会计学理学学士学位证书)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_03\",\n      \"slot_label\": \"上沿\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 577，位次 44899，计划 3\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b5051ab27e25\",\n      \"school\": \"贵州医科大学\",\n      \"major\": \"临床医学(色弱、色盲、单色不能识别者不予录取)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48259，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_947f9d231e51\",\n      \"school\": \"哈尔滨理工大学\",\n      \"major\": \"自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 47118，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_23408b9022aa\",\n      \"school\": \"青海大学\",\n      \"major\": \"金融学\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48219，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_1eb134e2cc62\",\n      \"school\": \"安徽理工大学\",\n      \"major\": \"电气工程及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 47053，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_703b51db369d\",\n      \"school\": \"南京工程学院\",\n      \"major\": \"电气工程及其自动化(中外合作办学)(与英国诺森比亚大学“3+1”双学位培养模式)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_06\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 574，位次 48275，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_f125f4baffca\",\n      \"school\": \"华东交通大学\",\n      \"major\": \"计算机科学与技术(基础学科拔尖人才培养基地。第1年在进贤教学点就读，后3年在校本部就读)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_05\",\n      \"slot_label\": \"主体\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 575，位次 46998，计划 7\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_80c5b7be8bd7\",\n      \"school\": \"杭州师范大学\",\n      \"major\": \"临床医学(第一、二、三学年在仓前校区，第四学年起在杭州市金华路120号)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_07\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 573，位次 49316，计划 5\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_fd6984571d9e\",\n      \"school\": \"东北电力大学\",\n      \"major\": \"自动化(国际创新课程ICC项目)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_08\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 572，位次 50519，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_2eb3e19cf1ef\",\n      \"school\": \"中北大学\",\n      \"major\": \"机械设计制造及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_08\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 572，位次 50527，计划 8\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_a2a3ed864976\",\n      \"school\": \"江西财经大学\",\n      \"major\": \"数据科学与大数据技术(智能量化投资)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_07\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 573，位次 49324，计划 4\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_b38fd8d0fcf7\",\n      \"school\": \"沈阳建筑大学\",\n      \"major\": \"机械设计制造及其自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_10\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 570，位次 52929，计划 1\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_c7bd97616c21\",\n      \"school\": \"安徽师范大学\",\n      \"major\": \"电子信息工程\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_10\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 570，位次 52964，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_0ce675df1333\",\n      \"school\": \"黑龙江大学\",\n      \"major\": \"自动化\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_09\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 571，位次 51789，计划 2\",\n      \"risk_flags\": []\n    },\n    {\n      \"candidate_id\": \"local_4873465eebd3\",\n      \"school\": \"华东交通大学\",\n      \"major\": \"软件工程(软件开发技术)(第1年在进贤教学点就读，后3年在校本部就读)\",\n      \"source_bucket\": \"safe_pool\",\n      \"slot_rating\": \"slot_09\",\n      \"slot_label\": \"缓冲\",\n      \"keep_reason\": \"通过四轮桶内处理后保留\",\n      \"evidence_brief\": \"最低分 571，位次 51743，计划 3\",\n      \"risk_flags\": []\n    }\n  ],\n  \"recall_summary\": {\n    \"reference_pool\": {\n      \"pool_name\": \"safe_pool\",\n      \"slice_engine\": \"safe_slice_v2_slot_axis\",\n      \"raw_rows\": 1211,\n      \"after_selection_requirements\": 1158,\n      \"after_semantic_keywords\": 260,\n      \"returned_count\": 260,\n      \"adaptive_window_enabled\": false,\n      \"cohort_size\": null,\n      \"user_percentile\": null,\n      \"accepted_ladder_level\": null,\n      \"accepted_gap_pp_min\": null,\n      \"accepted_gap_pp_max\": null,\n      \"accepted_rank_min\": null,\n      \"accepted_rank_max\": null,\n      \"equivalent_score\": 600,\n      \"equivalent_score_source_year\": null,\n      \"equivalent_score_source_scope\": null,\n      \"equivalent_score_source_basis\": \"input_score\",\n      \"bucket_score_window\": [\n        570,\n        579\n      ],\n      \"probe_counts_by_level\": [],\n      \"effective_count\": 260,\n      \"overflow\": false,\n      \"underfilled_by_supply\": false,\n      \"excluded_by_selection_requirements\": 53,\n      \"excluded_by_semantic_keywords\": 0,\n      \"excluded_by_major_include_keywords\": 0,\n      \"excluded_by_canonical_major\": 898,\n      \"source_tables\": [\n        \"admission_slice_index\"\n      ],\n      \"bucket_program_score_formula\": \"safety_strength_score*0.35 + acceptance_score*0.25 + evidence_quality_score*0.20 + official_match_score*0.15 - school_density_penalty*0.05\",\n      \"province\": \"山东\",\n      \"rank_used\": null,\n      \"score_used\": 600,\n      \"score_rank_baseline\": {\n        \"rank_used\": null,\n        \"input_score\": 600,\n        \"calibrated_score\": 600,\n        \"used_rank_equivalent_score\": false,\n        \"score_conflict_gap\": null,\n        \"equivalent_score_source_year\": null,\n        \"equivalent_score_source_scope\": null,\n        \"equivalent_score_source_basis\": null\n      },\n      \"selected_subjects\": [\n        \"物理\",\n        \"化学\",\n        \"地理\"\n      ],\n      \"physical_slice_isolation\": true\n    },\n    \"candidate_table_count\": 26\n  },\n  \"data_boundary_notes\": [\n    \"本地数据只包含录取事实字段，不包含学习强度、就业压力等长期语义画像。\",\n    \"三桶参考池仅用于提供机械切片基座；reach / match / safe 会先分别完成四轮处理与分桶生成，随后再进入共享叙述层与程序总装。\",\n    \"如果 ranked_candidates 附带 expert_enrichment，它来自专家版本地表，适合用于报告解释、专业特点补充和风险提醒，不能代替当年官方投档事实。\",\n    \"最终填报仍必须核验山东省教育招生考试院、阳光志愿、院校招生章程、选科与体检限制。\"\n  ]\n}\n\n候选包可能包含：candidate_table.safe_pool, bucket_pipeline.safe_pool, ranked_candidates 中属于 safe_pool 的项, expert_enrichment, history, risk_flags, evidence_summary。\n你必须优先使用候选包中的证据进行判断。\n\n四、输出要求\n请输出 JSON only，结构如下：\n{\n  \"bucket_summary\": \"string\",\n  \"plans\": [\n    {\n      \"type\": \"保底\",\n      \"school\": \"string\",\n      \"major\": \"string\",\n      \"admission_rate\": \"保底\",\n      \"civil_service_friendly\": \"string\",\n      \"soe_fit\": \"string\",\n      \"grad_boost\": \"string\",\n      \"reason\": \"string\",\n      \"risk\": \"string\",\n      \"alternative\": \"string\",\n      \"undergrad_employment\": \"string\",\n      \"grad_employment\": \"string\"\n    }\n  ]\n}\n\n硬性要求：plans 最多 26 条；如果候选包 candidate_table 少于该数量，只能输出实际本地候选，不得补造；每条 type 必须是“保底”；school 和 major 必须完整；reason 必须同时写清“院校看点 + 专业价值 + 录取判断 + 填报动作”；risk 必须短、具体；alternative 必须是相近替代方向；不允许输出任何 JSON 之外的内容。"}],"max_tokens":16384,"temperature":0.7,"response_format":{"type":"json_object"}},"model":"deepseek-chat","endpoint":"https://api.deepseek.com/chat/completions","provider":"DeepSeek","requestKind":"guided_safe_pool_report_generate"},"actual_provider":"DeepSeek","actual_model":"deepseek-chat","used_repair_pass":false,"repair_attempt_count":0,"status":"success","error_code":null,"error_message":null,"created_at":"2026-05-27T00:36:05+00:00","completed_at":"2026-05-26T16:37:22.135+00:00","updated_at":"2026-05-27T00:37:22+00:00"},"events":[{"id":37,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"report_created","status_before":null,"status_after":"pending","stage_before":null,"stage_after":"created","message":"Report record created","payload_json":{"formMode":null,"province":"山东","subjectType":"物理、化学、地理"},"created_at":"2026-05-27T00:28:21+00:00","payload":{"formMode":null,"province":"山东","subjectType":"物理、化学、地理"}},{"id":38,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"report_queued","status_before":"pending","status_after":"pending","stage_before":"created","stage_after":"queued","message":"Report queued","payload_json":{"errorCode":null,"errorMessage":null,"lastErrorStage":null},"created_at":"2026-05-27T00:28:21+00:00","payload":{"errorCode":null,"errorMessage":null,"lastErrorStage":null}},{"id":39,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"report_job_enqueued","status_before":"pending","status_after":"pending","stage_before":"queued","stage_after":"queued","message":"Report job enqueued","payload_json":{"source":"generate_request","status":"queued","queueName":"report_generation","maxAttempts":3},"created_at":"2026-05-27T00:28:21+00:00","payload":{"source":"generate_request","status":"queued","queueName":"report_generation","maxAttempts":3}},{"id":40,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"report_job_started","status_before":"pending","status_after":"pending","stage_before":"queued","stage_after":"queued","message":"Report job started","payload_json":{"source":"after_response","status":"running","maxAttempts":3,"attemptCount":1},"created_at":"2026-05-27T00:28:21+00:00","payload":{"source":"after_response","status":"running","maxAttempts":3,"attemptCount":1}},{"id":41,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"generation_started","status_before":"pending","status_after":"pending","stage_before":"queued","stage_after":"generating","message":"Report generation started","payload_json":{"errorCode":null,"errorMessage":null,"lastErrorStage":null},"created_at":"2026-05-27T00:28:21+00:00","payload":{"errorCode":null,"errorMessage":null,"lastErrorStage":null}},{"id":42,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"post_processing_started","status_before":"pending","status_after":"pending","stage_before":"generating","stage_after":"post_processing","message":"Report post processing started","payload_json":{"errorCode":null,"errorMessage":null,"lastErrorStage":null},"created_at":"2026-05-27T00:37:22+00:00","payload":{"errorCode":null,"errorMessage":null,"lastErrorStage":null}},{"id":43,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"report_content_saved","status_before":"pending","status_after":"pending","stage_before":"post_processing","stage_after":"post_processing","message":"Report content saved","payload_json":{"hasContent":true},"created_at":"2026-05-27T00:37:22+00:00","payload":{"hasContent":true}},{"id":44,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","event_type":"report_job_succeeded","status_before":"success","status_after":"success","stage_before":"completed","stage_after":"completed","message":"Report job completed","payload_json":{"status":"success","attemptCount":1},"created_at":"2026-05-27T00:37:22+00:00","payload":{"status":"success","attemptCount":1}}],"aiCallLogs":[{"id":19,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-guided-grounding-v1","request_kind":"user_profile_major_space_plan","system_prompt_excerpt":"You are the user_profile_major_space_plan engine for a Chinese gaokao guided report.\nYou may only choose canonical_major_name values that already exist in probe_canonical_major_pool_json.\nYou must not output executable keywords, SQL, candidate rows, or candidate_id values.\nReturn strict JSON only.\nRequired shape:\n{\n  \"selected_canonical_majors\": [{ \"canonical_major_name\": \"string\", \"confidence\": 0.82, \"reason_zh\": \"string\" }],\n  \"profile_summary_zh\": \"string\"\n}\nKeep the order meaningful because downstream code preserves your order.\nReturn at most top 15 selected_canonical_majors.","user_prompt_excerpt":"student_form_json:\n{\n  \"province\": \"山东\",\n  \"path_priority\": [\n    \"国企 / 央企\",\n    \"考公 / 考编\",\n    \"考研深造\",\n    \"本科直接就业\",\n    \"市场化高薪\"\n  ],\n  \"bucket_quotas\": {\n    \"reach_pool\": 25,\n    \"match_pool\": 40,\n    \"safe_pool\": 26\n  },\n  \"student_name\": \"山东测试01\",\n  \"score\": \"600\",\n  \"selected_subjects\": [\n    \"物理\",\n    \"化学\",\n    \"地理\"\n  ],\n  \"gender\": \"男\",\n  \"accept_out_province\": true,\n  \"prefer_home_province\": \"unsure\",\n  \"decision_maker\": \"学生\",\n  \"strong_subjects\": [\n    \"英语\",\n    \"数学\",\n    \"物理\",\n    \"化学\"\n  ],\n  \"accept_intensive\": true,\n  \"willing_graduate\": true,\n  \"subject_type\": \"物理、化学、地理\",\n  \"adjustment_policy\": \"not_applicable\",\n  \"accept_adjustment\": null,\n  \"planning_mode\": \"full\"\n}\n\nprobe_canonical_major_pool_json:\n[\n  {\n    \"canonical_major_name\": \"阿拉伯语\"\n  },\n  {\n    \"canonical_major_name\": \"宝石及材料工艺学\"\n  },\n  {\n    \"canonical_major_name\": \"保加利亚语\"\n  },\n  {\n    \"canonical_major_name\": \"保险学\"\n  },\n  {\n    \"canonical_major_name\": \"波兰语\"\n  },\n  {\n    \"canonical_major_name\": \"材料成型及控制工程\"\n  },\n  {\n    \"canonical_major_name\": \"材料化学\"\n  },\n  {\n    \"canonical_major_name\": \"材料科学与工程\"\n  },\n  {\n    \"canonical_major_name\": \"材料类\"\n  },\n  {\n    \"canonical_major_name\": \"材料物理\"\n  },\n  {\n    \"canonical_majo...","raw_response_excerpt":"{\n  \"selected_canonical_majors\": [\n    {\n      \"canonical_major_name\": \"计算机科学与技术\",\n      \"confidence\": 0.95,\n      \"reason_zh\": \"学生选考物理化学，数学英语强，偏好国企/央企和考研，计算机专业就业面广，符合市场化高薪和国企需求。\"\n    },\n    {\n      \"canonical_major_name\": \"电气工程及其自动化\",\n      \"confidence\": 0.90,\n      \"reason_zh\": \"物理化学强项，国企/央企需求大，如国家电网，且考研深造路径清晰。\"\n    },\n    {\n      \"canonical_major_name\": \"自动化\",\n      \"confidence\": 0.88,\n      \"reason_zh\": \"工科基础好，就业面宽，国企和市场化均可，考研方向多。\"\n    },\n    {\n      \"canonical_major_name\": \"电子信息工程\",\n      \"confidence\": 0.85,\n      \"reason_zh\": \"物理化学强，电子信息类国企和私企需求大，考研热门。\"\n    },\n    {\n      \"canonical_major_name\": \"软件工程\",\n      \"confidence\": 0.82,\n      \"reason_zh\": \"数学英语强，适合市场化高薪，也可考公考编，但竞争激烈。\"\n    },\n    {\n      \"canonical_major_name\": \"机械设计制造及其自动化\",\n      \"confidence\": 0.80,\n      \"reason_zh\": \"传统工科，国企需求稳定，考研可提升竞争力。\"\n    },\n    {\n      \"canonical_major_name\": \"材料科学与工程\",\n      \"confidence\": 0.78,\n      \"reason_zh\": \"物理化学强项，考研深造后可进国企或科研院所。\"\n    },\n    {\n      \"canonical_major_name\": \"金融学\",\n      \"confidence\": 0.75,\n      \"reason_zh\": \"数学英语强，考公考编和国企金融岗位有优势，但需注意选科限制。\"\n    },\n    {\n      \"canonical_major_name\": \"会计学\",\n      \"confidence\": 0.73,\n      \"reason_zh\": \"考公考编热门，国企财务岗需求大，数学英语强有优势。\"\n    },...","duration_ms":9825,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:28:31+00:00"},{"id":20,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-guided-grounding-v1","request_kind":"guided_semantic_query_plan","system_prompt_excerpt":"You are a query-planning engine for a Chinese gaokao admissions product.\n\nYour task is not to recommend schools.\nYour task is to translate a student form into machine-usable retrieval and filtering intent.\n\nThe local dataset only contains factual admissions fields such as school name, major name, score, rank, subject requirements, school location, year, and plan count.\nTherefore, any semantic preference such as study intensity, career pressure, graduate-study burden, stability, or family fit must be compiled into major-name keywords and caution rules that can be used against those factual fields.\n\nReturn strict JSON only.\n\nRequired JSON shape:\n{\n  \"semantic_query_plan\": {\n    \"hard_exclude_major_keywords\": [\"string\"],\n    \"soft_avoid_major_keywords\": [\"string\"],\n    \"risk_reminder_keywords\": [\"string\"],\n    \"preferred_major_keywords\": [\"string\"],\n    \"school_or_region_keywords\": [\"string\"],\n    \"query_strategy\": {\n      \"province_scope\": \"home_only|national|unclear\",\n      \"rank_window\": \"narrow|normal|wide\",\n      \"candidate_target_count\": 240\n    },\n    \"interpretation_notes\": [\"string\"]\n  }\n}\n\nRules:\n- hard_exclude, soft_avoid, and risk_reminder are downstream review signals onl...","user_prompt_excerpt":"Build a semantic query plan for the following guided report form.\n\nstudent_form_json:\n{\n  \"province\": \"山东\",\n  \"score\": \"600\",\n  \"rank\": null,\n  \"subject_type\": \"物理、化学、地理\",\n  \"gender\": \"男\",\n  \"target_city\": null,\n  \"accept_out_province\": true,\n  \"accept_adjustment\": null,\n  \"accept_intensive\": true,\n  \"willing_graduate\": true,\n  \"school_preference\": null,\n  \"prefer_home_province\": \"unsure\",\n  \"decision_maker\": \"学生\",\n  \"path_priority\": [\n    \"国企 / 央企\",\n    \"考公 / 考编\",\n    \"考研深造\",\n    \"本科直接就业\",\n    \"市场化高薪\"\n  ],\n  \"interests\": [],\n  \"strong_subjects\": [\n    \"英语\",\n    \"数学\",\n    \"物理\",\n    \"化学\"\n  ],\n  \"special_notes\": null,\n  \"medical_notes\": null\n}\n\nprofile_summary_for_downstream_ai_json:\n{\n  \"selected_canonical_majors\": [\n    \"计算机科学与技术\",\n    \"电气工程及其自动化\",\n    \"自动化\",\n    \"电子信息工程\",\n    \"软件工程\",\n    \"机械设计制造及其自动化\",\n    \"材料科学与工程\",\n    \"金融学\",\n    \"会计学\",\n    \"法学\",\n    \"临床医学\",\n    \"人工智能\",\n    \"数据科学与大数据技术\",\n    \"通信工程\",\n    \"土木工程\"\n  ],\n  \"profile_summary_zh\": \"山东理科男生，600分，选考物理、化学、地理，英语数学物理化学为优势科目。职业路径优先国企/央企和考公考编，同时考虑考研深造和市场化高薪。推荐以计算机、电气、自动化等工科为主，兼顾金融、会计、法学等考公热门，并适当考虑临床医学等长周期专业。\"\n}\n\nOutput strict JSON only.","raw_response_excerpt":"{\n  \"semantic_query_plan\": {\n    \"hard_exclude_major_keywords\": [],\n    \"soft_avoid_major_keywords\": [],\n    \"risk_reminder_keywords\": [],\n    \"preferred_major_keywords\": [\"计算机\", \"电气\", \"自动化\", \"电子信息\", \"软件\", \"机械\", \"材料\", \"金融\", \"会计\", \"法学\", \"临床医学\", \"人工智能\", \"数据科学\", \"大数据\", \"通信\", \"土木\"],\n    \"school_or_region_keywords\": [],\n    \"query_strategy\": {\n      \"province_scope\": \"national\",\n      \"rank_window\": \"normal\",\n      \"candidate_target_count\": 240\n    },\n    \"interpretation_notes\": [\n      \"学生接受出省，故全国范围检索。\",\n      \"学生未明确偏好本省，故不限制省份。\",\n      \"学生接受高强度学习，故不排除任何专业。\",\n      \"学生职业路径优先国企/央企和考公考编，故推荐工科和考公热门专业。\",\n      \"学生优势科目为英语、数学、物理、化学，故推荐相关工科专业。\",\n      \"学生未表达任何排斥或风险偏好，故无硬排除、软回避或风险提醒。\"\n    ]\n  }\n}","duration_ms":2943,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:28:35+00:00"},{"id":21,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-guided-grounding-v1","request_kind":"guided_stage3_geo_slice","system_prompt_excerpt":"You are a senior gaokao admissions counselor serving Shandong New Gaokao students.\nYou are experienced in evaluating candidate school-major options with score/rank context, admissions evidence, student preference boundaries, and risk control.\nYou are currently participating in the Guided gaokao planning workflow at Stage3.\nIn this call, you are responsible only for geography acceptance and region-boundary judgment.\n\nThis Stage3 round focuses on geography preference.\nThis is a single-dimension scoring step inside the Guided workflow.\nYou do not re-bucket candidates. You do not generate new candidates. You do not select final schools. You do not output final submission order.\nYour only job is to score the provided candidate cards for this single dimension while respecting their existing slot_rating structure, and to return reusable report material.\n\nReturn strict JSON only.\n\nRequired JSON shape:\n{\n  \"candidate_scores\": [\n    {\n      \"candidate_id\": \"string\",\n      \"round_score\": 0,\n      \"reasons\": [\"string\"]\n    }\n  ],\n  \"report_material\": {\n    \"round_summary\": \"string\",\n    \"preferred_signals\": [\"string\"],\n    \"caution_signals\": [\"string\"],\n    \"user_visible_advice\": [\"string\"]\n  ...","user_prompt_excerpt":"Build the stage3 geo slice plan.\n\nround_profile_compact_json:\n{\n  \"score_rank_baseline\": {\n    \"province\": \"山东\",\n    \"score\": \"600\",\n    \"rank\": null,\n    \"subject_type\": \"物理、化学、地理\"\n  },\n  \"geo_preference\": {\n    \"target_city\": null,\n    \"accept_out_province\": true,\n    \"prefer_home_province\": \"unsure\"\n  }\n}\n\nprofile_summary_for_downstream_ai_json:\n{\n  \"selected_canonical_majors\": [\n    \"计算机科学与技术\",\n    \"电气工程及其自动化\",\n    \"自动化\",\n    \"电子信息工程\",\n    \"软件工程\",\n    \"机械设计制造及其自动化\",\n    \"材料科学与工程\",\n    \"金融学\",\n    \"会计学\",\n    \"法学\",\n    \"临床医学\",\n    \"人工智能\",\n    \"数据科学与大数据技术\",\n    \"通信工程\",\n    \"土木工程\"\n  ],\n  \"profile_summary_zh\": \"山东理科男生，600分，选考物理、化学、地理，英语数学物理化学为优势科目。职业路径优先国企/央企和考公考编，同时考虑考研深造和市场化高薪。推荐以计算机、电气、自动化等工科为主，兼顾金融、会计、法学等考公热门，并适当考虑临床医学等长周期专业。\"\n}\n\nstudent_interpretation_json:\n{\n  \"round_focus\": \"Judge only geography preference alignment for the current candidate set.\",\n  \"use_rule\": \"Geo scoring should react strongly only to explicit city/province signals, and stay conservative when the student only shows mild location preference.\",\n  \"fields\": [\n    {\n      \"field\": \"province\",\n      \"value\": \"山东\",\n      \"value_present\": true,\n      \"meaning\": \"student home province anchor for interpreting in-pro...","raw_response_excerpt":"{\n  \"candidate_scores\": [\n    {\n      \"candidate_id\": \"local_7317e7689e89\",\n      \"round_score\": 85,\n      \"reasons\": [\n        \"slot_16 is moderately crowded in reach_pool; candidate is at lower edge of bucket, but home province geo tag provides a slight structural lift.\",\n        \"Home province (山东) aligns with prefer_home_province=unsure, and accept_out_province=true allows it; no explicit city target, so no conflict.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_fe1aee359031\",\n      \"round_score\": 50,\n      \"reasons\": [\n        \"slot_14 is moderately crowded; candidate is in middle slot, but outside preferred region tag reduces geo fit.\",\n        \"Outside preferred region (湖北) with no explicit city target; accept_out_province=true allows it, but prefer_home_province=unsure gives no bonus.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_4ca40d09bb1c\",\n      \"round_score\": 45,\n      \"reasons\": [\n        \"slot_16 is crowded; candidate is at lower edge, outside preferred region tag weakens geo alignment.\",\n        \"Outside preferred region (重庆) with no explicit city target; accept_out_province=true allows, but no home province bonus.\"\n      ]\n    },\n    {\n      \"candidate_i...","duration_ms":93038,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:30:08+00:00"},{"id":22,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-guided-grounding-v1","request_kind":"guided_stage3_path_slice","system_prompt_excerpt":"You are a senior gaokao admissions counselor serving Shandong New Gaokao students.\nYou are experienced in evaluating candidate school-major options with score/rank context, admissions evidence, student preference boundaries, and risk control.\nYou are currently participating in the Guided gaokao planning workflow at Stage3.\nIn this call, you are responsible only for major-path and future-path preference judgment.\n\nThis Stage3 round focuses on path-priority preference.\nThis is a single-dimension scoring step inside the Guided workflow.\nYou do not re-bucket candidates. You do not generate new candidates. You do not select final schools. You do not output final submission order.\nYour only job is to score the provided candidate cards for this single dimension while respecting their existing slot_rating structure, and to return reusable report material.\n\nReturn strict JSON only.\n\nRequired JSON shape:\n{\n  \"candidate_scores\": [\n    {\n      \"candidate_id\": \"string\",\n      \"round_score\": 0,\n      \"reasons\": [\"string\"]\n    }\n  ],\n  \"report_material\": {\n    \"round_summary\": \"string\",\n    \"preferred_signals\": [\"string\"],\n    \"caution_signals\": [\"string\"],\n    \"user_visible_advice\": [\"string\"]\n ...","user_prompt_excerpt":"Build the stage3 path slice plan.\n\nround_profile_compact_json:\n{\n  \"score_rank_baseline\": {\n    \"province\": \"山东\",\n    \"score\": \"600\",\n    \"rank\": null,\n    \"subject_type\": \"物理、化学、地理\"\n  },\n  \"path_preference\": {\n    \"path_priority\": [\n      \"国企 / 央企\",\n      \"考公 / 考编\",\n      \"考研深造\",\n      \"本科直接就业\",\n      \"市场化高薪\"\n    ],\n    \"selected_canonical_majors\": [\n      \"计算机科学与技术\",\n      \"电气工程及其自动化\",\n      \"自动化\",\n      \"电子信息工程\",\n      \"软件工程\",\n      \"机械设计制造及其自动化\"\n    ],\n    \"preferred_major_families_zh\": [],\n    \"profile_summary_zh\": \"山东理科男生，600分，选考物理、化学、地理，英语数学物理化学为优势科目。职业路径优先国企/央企和考公考编，同时考虑考研深造和市场化高薪。推荐以计算机、电气、自动化等工科为主，兼顾金融、会计、法学等考公热门，并适当考虑临床医学等长周期专业。\"\n  }\n}\n\nprofile_summary_for_downstream_ai_json:\n{\n  \"selected_canonical_majors\": [\n    \"计算机科学与技术\",\n    \"电气工程及其自动化\",\n    \"自动化\",\n    \"电子信息工程\",\n    \"软件工程\",\n    \"机械设计制造及其自动化\",\n    \"材料科学与工程\",\n    \"金融学\",\n    \"会计学\",\n    \"法学\",\n    \"临床医学\",\n    \"人工智能\",\n    \"数据科学与大数据技术\",\n    \"通信工程\",\n    \"土木工程\"\n  ],\n  \"profile_summary_zh\": \"山东理科男生，600分，选考物理、化学、地理，英语数学物理化学为优势科目。职业路径优先国企/央企和考公考编，同时考虑考研深造和市场化高薪。推荐以计算机、电气、自动化等工科为主，兼顾金融、会计、法学等考公热门，并适当考虑临床医学等长周期专业。\"\n}\n\nstudent_interpretation_json:\n{\n  \"round_focus\": \"Judge only path-priority alignment such as direct employment, SO...","raw_response_excerpt":"{\n  \"candidate_scores\": [\n    {\n      \"candidate_id\": \"local_95b8aaae4336\",\n      \"round_score\": 60,\n      \"reasons\": [\n        \"slot_01 in reach_pool is overcrowded with 8 candidates; score reduced to maintain structural dispersion.\",\n        \"Major is computer science, which aligns with path priorities, but the high tuition and English requirements add risk.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_78333ca48d00\",\n      \"round_score\": 55,\n      \"reasons\": [\n        \"slot_02 in reach_pool has 8 candidates; score reduced to avoid overcrowding.\",\n        \"Data science is a preferred major, but the high tuition and foreign cooperation are less ideal for SOE/公务员 paths.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_d234c1b7119f\",\n      \"round_score\": 65,\n      \"reasons\": [\n        \"slot_03 in reach_pool has 8 candidates; moderate score to maintain layering.\",\n        \"Law is a strong path for civil service exams, but the foreign cooperation may not be necessary.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_0da7a42312c6\",\n      \"round_score\": 75,\n      \"reasons\": [\n        \"slot_04 in reach_pool has 8 candidates; score reduced slightly due to density.\",\n        \"Comp...","duration_ms":94928,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:31:43+00:00"},{"id":23,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-guided-grounding-v1","request_kind":"guided_stage3_burden_slice","system_prompt_excerpt":"You are a senior gaokao admissions counselor serving Shandong New Gaokao students.\nYou are experienced in evaluating candidate school-major options with score/rank context, admissions evidence, student preference boundaries, and risk control.\nYou are currently participating in the Guided gaokao planning workflow at Stage3.\nIn this call, you are responsible only for burden, restriction, and risk-boundary judgment.\n\nThis Stage3 round focuses on burden and restriction preference.\nThis is a single-dimension scoring step inside the Guided workflow.\nYou do not re-bucket candidates. You do not generate new candidates. You do not select final schools. You do not output final submission order.\nYour only job is to score the provided candidate cards for this single dimension while respecting their existing slot_rating structure, and to return reusable report material.\n\nReturn strict JSON only.\n\nRequired JSON shape:\n{\n  \"candidate_scores\": [\n    {\n      \"candidate_id\": \"string\",\n      \"round_score\": 0,\n      \"reasons\": [\"string\"]\n    }\n  ],\n  \"report_material\": {\n    \"round_summary\": \"string\",\n    \"preferred_signals\": [\"string\"],\n    \"caution_signals\": [\"string\"],\n    \"user_visible_advice\": [\"...","user_prompt_excerpt":"Build the stage3 burden slice plan.\n\nround_profile_compact_json:\n{\n  \"score_rank_baseline\": {\n    \"province\": \"山东\",\n    \"score\": \"600\",\n    \"rank\": null,\n    \"subject_type\": \"物理、化学、地理\"\n  },\n  \"burden_and_constraints\": {\n    \"accept_intensive\": true,\n    \"willing_graduate\": true,\n    \"medical_notes\": null,\n    \"special_notes\": null,\n    \"risk_major_families_zh\": [],\n    \"profile_summary_zh\": \"山东理科男生，600分，选考物理、化学、地理，英语数学物理化学为优势科目。职业路径优先国企/央企和考公考编，同时考虑考研深造和市场化高薪。推荐以计算机、电气、自动化等工科为主，兼顾金融、会计、法学等考公热门，并适当考虑临床医学等长周期专业。\"\n  }\n}\n\nprofile_summary_for_downstream_ai_json:\n{\n  \"selected_canonical_majors\": [\n    \"计算机科学与技术\",\n    \"电气工程及其自动化\",\n    \"自动化\",\n    \"电子信息工程\",\n    \"软件工程\",\n    \"机械设计制造及其自动化\",\n    \"材料科学与工程\",\n    \"金融学\",\n    \"会计学\",\n    \"法学\",\n    \"临床医学\",\n    \"人工智能\",\n    \"数据科学与大数据技术\",\n    \"通信工程\",\n    \"土木工程\"\n  ],\n  \"profile_summary_zh\": \"山东理科男生，600分，选考物理、化学、地理，英语数学物理化学为优势科目。职业路径优先国企/央企和考公考编，同时考虑考研深造和市场化高薪。推荐以计算机、电气、自动化等工科为主，兼顾金融、会计、法学等考公热门，并适当考虑临床医学等长周期专业。\"\n}\n\nstudent_interpretation_json:\n{\n  \"round_focus\": \"Judge only burden and restriction compatibility, including intensity, graduate dependency, and explicit physical or personal constraints.\",\n  \"use_rule\": \"Burden scoring may downscore or reject ca...","raw_response_excerpt":"{\n  \"candidate_scores\": [\n    {\n      \"candidate_id\": \"local_95b8aaae4336\",\n      \"round_score\": 70,\n      \"reasons\": [\n        \"slot_01 in reach_pool, structurally sparse; no burden conflict.\",\n        \"Major is CS with English-heavy instruction; student has strong English, no burden conflict.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_326f8f762009\",\n      \"round_score\": 75,\n      \"reasons\": [\n        \"slot_02 in reach_pool, structurally sparse; no burden conflict.\",\n        \"Law major, no burden tags, student willing to graduate, no conflict.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_d234c1b7119f\",\n      \"round_score\": 65,\n      \"reasons\": [\n        \"slot_03 in reach_pool, structurally sparse; no burden conflict.\",\n        \"Law (Sino-foreign), English instruction, student strong in English, no burden conflict.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_0da7a42312c6\",\n      \"round_score\": 75,\n      \"reasons\": [\n        \"slot_04 in reach_pool, structurally sparse; no burden conflict.\",\n        \"CS major, no burden tags, student willing to graduate, no conflict.\"\n      ]\n    },\n    {\n      \"candidate_id\": \"local_b03ed8109789\",\n      \"round_score\": 70,\n      ...","duration_ms":89253,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:33:12+00:00"},{"id":24,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-v2-rank-first+report-guided-grounding-v1+bucket-v1","request_kind":"guided_reach_pool_report_generate","system_prompt_excerpt":"slot_rating is the authoritative Stage3 structured field for reach_pool.\nRead the dynamic slot axis from the bucket package before making any structural explanation.\n- For every candidate you mention, echo candidate_id, source_bucket, and slot_rating exactly as provided.\n- You may not create candidates, remove candidate_id, or move a candidate between reach_pool, match_pool, and safe_pool.\n- You may not rewrite, compress, or alias slot_rating.\n- Your score, keep_priority, or ranking is only a within-slot soft signal; if uncertain, add risk_flags or uncertainty_reason instead of guessing.\n- Structural layering is a top-priority objective of this round.\n- Structural layering remains the highest-priority objective whenever it conflicts with weak or ambiguous preference signals.\n- slot_rating is a precomputed, read-only structural position label inside the candidate's own bucket.\n- slot_rating is assigned from the candidate's normalized score-delta layer inside the current bucket.\n- Numeric slot labels are ordinal score-layer indices, not abstract gradient tags.\n- Smaller slot numbers mean the candidate is closer to the upper score edge of that bucket.\n- Larger slot numbers mean the ca...","user_prompt_excerpt":"请基于以下输入，只从 reach_pool 候选中生成 reach 冲刺桶志愿方案。\n\n你不能新增候选，不能输出其它桶，不能编造未提供的数据。\n请严格按照 System Prompt 的 reach_pool 判定流程执行。\n\n一、学生画像 student_form_json\n{\n  \"province\": \"山东\",\n  \"score\": \"600\",\n  \"rank\": null,\n  \"subject_type\": \"物理、化学、地理\",\n  \"gender\": \"男\",\n  \"target_city\": null,\n  \"accept_out_province\": true,\n  \"accept_adjustment\": null,\n  \"accept_intensive\": true,\n  \"willing_graduate\": true,\n  \"school_preference\": null,\n  \"prefer_home_province\": \"unsure\",\n  \"decision_maker\": \"学生\",\n  \"path_priority\": [\n    \"国企 / 央企\",\n    \"考公 / 考编\",\n    \"考研深造\",\n    \"本科直接就业\",\n    \"市场化高薪\"\n  ],\n  \"interests\": [],\n  \"strong_subjects\": [\n    \"英语\",\n    \"数学\",\n    \"物理\",\n    \"化学\"\n  ],\n  \"special_notes\": null,\n  \"medical_notes\": null\n}\n\n重点关注：province, score, rank, subject_type, accept_out_province, accept_intensive, willing_graduate, target_city, path_priority, interests, strong_subjects, school_preference, special_notes, medical_notes\n\n二、语义查询计划 semantic_query_plan_json\n{\n  \"version\": \"guided-semantic-query-plan-v1\",\n  \"hard_exclude_major_keywords\": [],\n  \"soft_avoid_major_keywords\": [],\n  \"risk_reminder_keywords\": [],\n  \"preferred_major_keywords\": [\n    \"计算机\",\n    \"电气\",\n    \"自动化\",\n    \"电子信息\",\n    \"软件\",\n    \"机械\",\n    \"材料\",\n...","raw_response_excerpt":"{\n  \"bucket_summary\": \"基于山东600分（物理、化学、地理）男生，优先国企/央企、考公/考编、考研深造路径。reach_pool候选25条，全部保留并生成冲刺方案。slot_rating从slot_01到slot_16，涵盖上沿、主体、缓冲三层，依据位次差距和计划数合理分布。\",\n  \"plans\": [\n    {\n      \"type\": \"冲刺\",\n      \"school\": \"中国海洋大学\",\n      \"major\": \"法学(中外合作办学)(与美国亚利桑那大学罗杰斯法学院合办，“4+0”“2+2”“3+1”模式均可，非英语语种考生慎重报考)\",\n      \"admission_rate\": \"冲刺\",\n      \"civil_service_friendly\": \"法学专业是考公考编核心对口专业，中外合作办学学历受认可，可报考法院、检察院、司法局等岗位。但需注意部分岗位要求全日制普通本科，中外合作办学可能受限，需提前确认。\",\n      \"soe_fit\": \"法学专业在国企法务、合规岗位有需求，但中外合作办学背景在部分国企招聘中可能不如普通法学有优势，需结合具体企业要求。\",\n      \"grad_boost\": \"中外合作办学模式灵活，可2+2或3+1出国，有助于申请海外LLM或JD，提升学历层次；国内考研法学竞争激烈，但海大平台可提供一定资源。\",\n      \"reason\": \"中国海洋大学是985高校，法学专业虽非其强势学科，但依托985平台，在山东及全国认可度高。中外合作办学项目与美国亚利桑那大学合作，可获双学位，适合有出国打算的学生。录取位次23491，略低于学生位次（假设约25000），计划63人，有一定冲刺空间。建议放在冲刺区前段，作为985平台尝试，后续需搭配稳妥的211法学或相近专业。\",\n      \"risk\": \"中外合作办学学费较高，且部分考公岗位可能限制中外合作办学学历；英语要求高，非英语语种考生慎重报考。\",\n      \"alternative\": \"可考虑中国海洋大学普通法学（如分数不够），或南京农业大学法学、辽宁大学法学等211院校法学专业。\",\n      \"undergrad_employment\": \"本科毕业可进入律所、企业法务、基层公务员岗位，但中外合作办学背景在普通律所可能无额外优势。\",\n      \"grad_employment\": \"若出国读LLM或JD，可进入涉外律所、跨国公司或国际组织；若国内考研，可提升至更高层次法院、检察院或大型国企法务。\"\n    },\n    {\n      \"type\": \"冲刺\",\n      \"school\": \"南京农业大学\",\n      \"major\": \"金融学\",\n      \"admission_rat...","duration_ms":68191,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:34:20+00:00"},{"id":25,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-v2-rank-first+report-guided-grounding-v1+bucket-v1","request_kind":"guided_match_pool_report_generate","system_prompt_excerpt":"slot_rating is the authoritative Stage3 structured field for match_pool.\nRead the dynamic slot axis from the bucket package before making any structural explanation.\nThe current bucket uses a dynamic slot axis rather than a fixed global slot ceiling.\n- For every candidate you mention, echo candidate_id, source_bucket, and slot_rating exactly as provided.\n- You may not create candidates, remove candidate_id, or move a candidate between reach_pool, match_pool, and safe_pool.\n- You may not rewrite, compress, or alias slot_rating.\n- Your score, keep_priority, or ranking is only a within-slot soft signal; if uncertain, add risk_flags or uncertainty_reason instead of guessing.\n- Structural layering is a top-priority objective of this round.\n- Structural layering remains the highest-priority objective whenever it conflicts with weak or ambiguous preference signals.\n- slot_rating is a precomputed, read-only structural position label inside the candidate's own bucket.\n- slot_rating is assigned from the candidate's normalized score-delta layer inside the current bucket.\n- Numeric slot labels are ordinal score-layer indices, not abstract gradient tags.\n- Smaller slot numbers mean the candidat...","user_prompt_excerpt":"slot_rating is the only structured ordering axis for match output.\nadmission_rate must stay fixed to 稳妥.\nDo not rewrite slot_rating into any three-band alias.\n\n请基于以下输入，只从 match_pool 候选中生成 match 稳妥桶志愿方案。\n\n你不能新增候选，不能输出其它桶，不能编造未提供的数据。\n请严格按照 System Prompt 的 match_pool 判定流程执行。\n\n一、学生画像 student_form_json\n{\n  \"province\": \"山东\",\n  \"score\": \"600\",\n  \"rank\": null,\n  \"subject_type\": \"物理、化学、地理\",\n  \"gender\": \"男\",\n  \"target_city\": null,\n  \"accept_out_province\": true,\n  \"accept_adjustment\": null,\n  \"accept_intensive\": true,\n  \"willing_graduate\": true,\n  \"school_preference\": null,\n  \"prefer_home_province\": \"unsure\",\n  \"decision_maker\": \"学生\",\n  \"path_priority\": [\n    \"国企 / 央企\",\n    \"考公 / 考编\",\n    \"考研深造\",\n    \"本科直接就业\",\n    \"市场化高薪\"\n  ],\n  \"interests\": [],\n  \"strong_subjects\": [\n    \"英语\",\n    \"数学\",\n    \"物理\",\n    \"化学\"\n  ],\n  \"special_notes\": null,\n  \"medical_notes\": null\n}\n\n重点关注：province, score, rank, subject_type, accept_out_province, accept_intensive, willing_graduate, target_city, path_priority, interests, strong_subjects, school_preference, special_notes, medical_notes\n\n二、语义查询计划 semantic_query_plan_json\n{\n  \"version\": \"guided-semantic-query-plan-v1\",\n  \"hard_exclude_major_keywords\": [],\n  \"soft_avoid...","raw_response_excerpt":"{\n  \"bucket_summary\": \"基于山东600分（物化地）男生画像，从match_pool候选包40条中筛选出40条稳妥方案。学生优先国企/央企、考公考编、考研深造，优势学科为英语、数学、物理、化学，接受出省和高强度学习。所有候选均位于580-599分区间，与600分匹配度高。slot_rating从slot_01到slot_20，覆盖上沿、主体、缓冲各层，结构完整。\",\n  \"plans\": [\n    {\n      \"type\": \"稳妥\",\n      \"school\": \"湖南师范大学\",\n      \"major\": \"金融学\",\n      \"admission_rate\": \"稳妥\",\n      \"civil_service_friendly\": \"金融学专业可报考财经类、税务、审计等公务员岗位，岗位覆盖面较广，但竞争激烈。湖南师范大学为211院校，选调生资格有优势。\",\n      \"soe_fit\": \"金融学毕业生可进入银行、证券、保险等国企金融机构，湖南师范大学211背景在国企招聘中具有一定竞争力。\",\n      \"grad_boost\": \"湖南师范大学为211平台，保研率较高，金融学考研可冲刺985或财经类名校，深造路径清晰。\",\n      \"reason\": \"湖南师范大学是211工程重点大学，位于长沙，人文社科底蕴深厚，金融学专业虽非其王牌，但依托211平台在就业和深造上仍有优势。该专业适合考公、银行、国企等路径，与学生国企/央企、考公考编优先级匹配。录取方面，2023年最低分599，位次25117，学生600分处于上沿位置，计划4人，稳妥性较高。建议作为稳妥区前段主力，搭配分数更稳的电气、计算机类志愿。\",\n      \"risk\": \"金融学专业热度较高，历年位次可能有小幅波动，且计划仅4人，需关注招生计划变化。\",\n      \"alternative\": \"可考虑湘潭大学数据科学与大数据技术（slot_07），分数更低，计算机方向更稳。\",\n      \"undergrad_employment\": \"本科毕业后主要进入银行、证券公司、保险公司等金融机构的基层岗位，或考取公务员、事业单位。\",\n      \"grad_employment\": \"硕士毕业后可进入券商投行、基金公司、大型银行总部等更高平台，或通过选调生进入政府经济部门。\"\n    },\n    {\n      \"type\": \"稳妥\",\n      \"school\": \"扬州大学\",\n      \"major\": \"电气工程及其自动化\",\n      \"admission_rate\": \"稳妥\",\n      \"civil_service_friendly\": \"电气工程专业可报考电网、能源局等公务员岗位，但岗位数量有限，非考公主流专...","duration_ms":104928,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:36:05+00:00"},{"id":26,"report_id":"4ed2b46f-9256-40c7-8db3-50d5fc8476ce","trace_id":"trace_d4345547-ad03-4d2b-977a-3a7a276cf9de","attempt_no":1,"provider":"DeepSeek","model":"deepseek-chat","prompt_version":"report-v2-rank-first+report-guided-grounding-v1+bucket-v1","request_kind":"guided_safe_pool_report_generate","system_prompt_excerpt":"slot_rating is the authoritative Stage3 structured field for safe_pool.\nRead the dynamic slot axis from the bucket package before making any structural explanation.\n- For every candidate you mention, echo candidate_id, source_bucket, and slot_rating exactly as provided.\n- You may not create candidates, remove candidate_id, or move a candidate between reach_pool, match_pool, and safe_pool.\n- You may not rewrite, compress, or alias slot_rating.\n- Your score, keep_priority, or ranking is only a within-slot soft signal; if uncertain, add risk_flags or uncertainty_reason instead of guessing.\n- Structural layering is a top-priority objective of this round.\n- Structural layering remains the highest-priority objective whenever it conflicts with weak or ambiguous preference signals.\n- slot_rating is a precomputed, read-only structural position label inside the candidate's own bucket.\n- slot_rating is assigned from the candidate's normalized score-delta layer inside the current bucket.\n- Numeric slot labels are ordinal score-layer indices, not abstract gradient tags.\n- Smaller slot numbers mean the candidate is closer to the upper score edge of that bucket.\n- Larger slot numbers mean the can...","user_prompt_excerpt":"请基于以下输入，只从 safe_pool 候选中生成 safe 桶志愿方案。\n\n你不能新增候选，不能输出其它桶，不能编造未提供的数据。\n请严格按照 System Prompt 的 safe_pool 判定流程执行。\n\n一、学生画像 student_form_json\n{\n  \"province\": \"山东\",\n  \"score\": \"600\",\n  \"rank\": null,\n  \"subject_type\": \"物理、化学、地理\",\n  \"gender\": \"男\",\n  \"target_city\": null,\n  \"accept_out_province\": true,\n  \"accept_adjustment\": null,\n  \"accept_intensive\": true,\n  \"willing_graduate\": true,\n  \"school_preference\": null,\n  \"prefer_home_province\": \"unsure\",\n  \"decision_maker\": \"学生\",\n  \"path_priority\": [\n    \"国企 / 央企\",\n    \"考公 / 考编\",\n    \"考研深造\",\n    \"本科直接就业\",\n    \"市场化高薪\"\n  ],\n  \"interests\": [],\n  \"strong_subjects\": [\n    \"英语\",\n    \"数学\",\n    \"物理\",\n    \"化学\"\n  ],\n  \"special_notes\": null,\n  \"medical_notes\": null\n}\n\n重点关注：province, score, rank, subject_type, accept_out_province, accept_intensive, willing_graduate, target_city, path_priority, interests, strong_subjects, school_preference, special_notes, medical_notes\n\n二、语义查询计划 semantic_query_plan_json\n{\n  \"version\": \"guided-semantic-query-plan-v1\",\n  \"hard_exclude_major_keywords\": [],\n  \"soft_avoid_major_keywords\": [],\n  \"risk_reminder_keywords\": [],\n  \"preferred_major_keywords\": [\n    \"计算机\",\n    \"电气\",\n    \"自动化\",\n    \"电子信息\",\n    \"软件\",\n    \"机械\",\n    \"材料\",\n    \"...","raw_response_excerpt":"{\n  \"bucket_summary\": \"本保底方案包含26个候选，覆盖slot_01至slot_10，以工科和财经类专业为主，兼顾临床医学，录取位次在42646至52964之间，与考生600分/物理化学地理选科匹配，安全边际充足。\",\n  \"plans\": [\n    {\n      \"type\": \"保底\",\n      \"school\": \"西安工业大学\",\n      \"major\": \"会计学\",\n      \"admission_rate\": \"保底\",\n      \"civil_service_friendly\": \"会计学是考公热门专业，可报考税务局、审计局、财政局等岗位，岗位匹配度高。\",\n      \"soe_fit\": \"会计学是国企财务部门的核心需求专业，就业稳定，适合进入各类央企、国企的财务岗位。\",\n      \"grad_boost\": \"西安工业大学有会计学硕士点，考研氛围较好，可报考本校或更高层次院校的会计、审计硕士。\",\n      \"reason\": \"西安工业大学是陕西省属重点高校，在西北地区工科领域有较好口碑，会计学专业为该校传统优势专业，就业渠道稳定。该专业属于考公、国企财务岗的通用专业，与考生国企/考公路径高度契合。录取最低分578，位次43903，低于考生600分约22分，安全边际大，计划2人，竞争压力适中。建议作为保底区上沿志愿，与吉林财经大学会计学形成同路径双保底。\",\n      \"risk\": \"学校层次为双非，在东部地区认可度有限，若未来回山东就业，竞争力不如省内财经院校。\",\n      \"alternative\": \"吉林财经大学会计学（同层次、同专业，位次更优，计划更多）\",\n      \"undergrad_employment\": \"本科毕业后可进入中小企业财务岗、会计师事务所、银行柜员等岗位，起薪约4000-6000元/月。\",\n      \"grad_employment\": \"硕士毕业后可进入大型国企财务部、券商投行中后台、政府审计部门，薪资和平台明显提升。\"\n    },\n    {\n      \"type\": \"保底\",\n      \"school\": \"吉林财经大学\",\n      \"major\": \"会计学\",\n      \"admission_rate\": \"保底\",\n      \"civil_service_friendly\": \"会计学是考公热门专业，可报考税务局、审计局、财政局等岗位，岗位匹配度高。\",\n      \"soe_fit\": \"会计学是国企财务部门的核心需求专业，就业稳定，适合进入各类央企、国企的财务岗位。\",\n      \"grad_boost\": \"吉林财经大学是原财政部直属院校，会计学为国家级特色专业，考研升学率较高，可报考东北财经大学、吉林大学等...","duration_ms":76313,"success":true,"error_code":null,"error_message":null,"created_at":"2026-05-27T00:37:22+00:00"}]}