{ "signature": "f617ba509df58a15ddfc766c0a82b4b5bf4c173c9b9170563efbd7f7301319a5", "parsed": { "advice": "匹配依据:待匹配案件的“disposal_of_stolen_property=挥霍”“booty_squandered=true”“fraud_target=个人”及“fraud_amount”等特征与匹配原型“诈骗罪-prototype-0”的定义特征相符。该原型包含22个案件,刑期统计区间为:中位数45.0个月,四分位25%为11.25个月,四分位75%为58.5个月,最小值3.0个月,最大值168.0个月。不确定性:待匹配案件中“restitution_situation”“return_of_stolen_property”等原型定义特征为null,可能影响匹配准确性,刑期存在波动可能。" }, "receipt": { "purpose": "3-12 held-out prototype-grounded advice cail2018-00d660cf28f916f3", "provider": "ark", "endpoint": "https://ark.cn-beijing.volces.com/api/v3", "started_at": "2026-07-30T04:42:25.131371+00:00", "latency_ms": 18902.945, "request": { "model": "doubao-seed-1-6-250615", "messages": [ { "role": "system", "content": "你是司法数据分析助手。只可使用给出的训练集案件原型统计与已抽取因素,不得使用原始训练案件、外部法律知识或自行给出其他刑期数字。解释匹配依据和统计区间,强调不确定性。只返回 JSON:{\"advice\":\"...\"}。不要写免责声明,系统会统一附加。" }, { "role": "user", "content": "HELDOUT EXTRACTED FACTORS:\n{\"charge\": \"诈骗罪\", \"surrender\": null, \"truthful_confession\": null, \"compensation_to_victim\": null, \"victim_forgiveness\": null, \"joint_crime\": null, \"criminal_record\": null, \"arrest_method\": null, \"return_of_stolen_property\": null, \"crime_count\": null, \"crime_amount\": 163800.0, \"guilty_plea\": null, \"first_offense\": null, \"recidivism\": null, \"criminal_form\": null, \"disposal_of_stolen_property\": \"挥霍\", \"victim_count\": null, \"fraud_count\": null, \"fraud_amount\": 163800.0, \"fraud_method\": \"虚构事实\", \"restitution_situation\": null, \"fraud_target\": \"个人\", \"proceeds_use\": \"挥霍\", \"impersonate_identity\": null, \"fraud_means\": null, \"fraud_victim_count\": null, \"booty_squandered\": true, \"fraud_middleman\": null}\n\nMATCHED TRAINING PROTOTYPE ONLY:\n{\"prototype_id\": \"诈骗罪-prototype-0\", \"charge\": \"诈骗罪\", \"prototype_size\": 22, \"sentence_months\": {\"median\": 45.0, \"q25\": 11.25, \"q75\": 58.5, \"min\": 3.0, \"max\": 168.0}, \"defining_features\": [{\"feature\": \"cat:proceeds_use=挥霍\", \"z\": 3.726229148285477}, {\"feature\": \"bool:booty_squandered\", \"z\": 3.629934841284343}, {\"feature\": \"cat:disposal_of_stolen_property=挥霍\", \"z\": 2.823242590137243}, {\"feature\": \"cat:restitution_situation=部分退赃\", \"z\": 2.149983260084719}, {\"feature\": \"num:fraud_victim_count\", \"z\": 1.7078406967199085}, {\"feature\": \"cat:fraud_target=个人\", \"z\": 1.6821971448205932}, {\"feature\": \"num:fraud_amount\", \"z\": 1.6088028147438735}, {\"feature\": \"cat:return_of_stolen_property=部分退赃\", \"z\": 1.5149027385089702}], \"match_distance\": 0.05566992861242549}" } ], "temperature": 0, "seed": 37, "max_tokens": 900, "response_format": { "type": "json_object" } }, "response": { "id": "02178538654535828a04e35a69bbadd2802274f74f3d7f07cd2a4", "choices": [ { "finish_reason": "stop", "index": 0, "logprobs": null, "message": { "content": "{\"advice\":\"匹配依据:待匹配案件的“disposal_of_stolen_property=挥霍”“booty_squandered=true”“fraud_target=个人”及“fraud_amount”等特征与匹配原型“诈骗罪-prototype-0”的定义特征相符。该原型包含22个案件,刑期统计区间为:中位数45.0个月,四分位25%为11.25个月,四分位75%为58.5个月,最小值3.0个月,最大值168.0个月。不确定性:待匹配案件中“restitution_situation”“return_of_stolen_property”等原型定义特征为null,可能影响匹配准确性,刑期存在波动可能。\"}", "refusal": null, "role": "assistant", "annotations": null, "audio": null, "function_call": null, "tool_calls": null, "reasoning_content": "\n我现在需要处理用户的请求,根据提供的HELDOUT EXTRACTED FACTORS和MATCHED TRAINING PROTOTYPE来生成建议。首先,我要仔细分析这两个部分的内容。\n\n首先看HELDOUT EXTRACTED FACTORS,里面的罪名是诈骗罪,犯罪金额(fraud_amount)是163800.0元,处置赃物方式(disposal_of_stolen_property)是“挥霍”,赃款挥霍(booty_squandered)是true,诈骗对象(fraud_target)是“个人”,其他很多因素如自首、坦白、赔偿、谅解等都是null。\n\n然后看MATCHED TRAINING PROTOTYPE,原型ID是“诈骗罪-prototype-0”,样本量22个,刑期的中位数是45.0个月,四分位25%是11.25,75%是58.5,最小值3.0,最大值168.0。定义特征里有几个关键的,比如“proceeds_use=挥霍”、“booty_squandered”、“disposal_of_stolen_property=挥霍”、“fraud_target=个人”、“fraud_amount”这些,而待匹配案件中正好有“disposal_of_stolen_property=挥霍”、“booty_squandered=true”、“fraud_target=个人”、“fraud_amount=163800.0”,这些特征是匹配的。不过定义特征里还有“restitution_situation=部分退赃”和“return_of_stolen_property=部分退赃”,但待匹配案件中这两个因素是null,可能存在不匹配的地方。\n\n接下来需要解释匹配依据,就是待匹配案件的“disposal_of_stolen_property=挥霍”、“booty_squandered=true”、“fraud_target=个人”、“fraud_amount”等特征与原型的定义特征相匹配。统计区间就是原型的刑期统计,中位数45.0,q25=11.25,q75=58.5,min=3.0,max=168.0。同时要强调不确定性,因为待匹配案件中缺少“restitution_situation”和“return_of_stolen_property”等原型中的特征,可能影响匹配准确性。\n\n最后按照要求,只返回JSON,格式是{\"advice\":\"...\"},里面要包含匹配依据、统计区间和不确定性说明。需要注意不能使用外部法律知识,只能基于给出的训练集原型统计和抽取因素。" } } ], "created": 1785386564, "model": "doubao-seed-1-6-250615", "object": "chat.completion", "service_tier": "default", "system_fingerprint": null, "usage": { "completion_tokens": 715, 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