{ "ok": true, "error": null, "report_doc": { "title": "先建立自己的比较底座，再谈哪一步值得改", "subtitle": "围绕减重目标，这段冻结观察最可靠的收获，是把同类餐后的个人轮廓看得更清楚，而不是急着给某一餐判好坏。", "user_id": "审阅样本", "archetype": "cgm_journey", "meta": { "confidence": "moderate", "jtbd": "减重", "observation_window": "[[journey_window]]" }, "blocks": [ { "type": "section", "fact_refs": [ "journey_window", "achievement_analyzable", "achievement_trusted" ], "payload": { "title": "先把这段观察站稳", "intro": "这段冻结观察覆盖的是 [[journey_window]]。在这段材料里，已经拿到 [[achievement_analyzable]]，其中质量足以支撑主要判断的是 [[achievement_trusted]]。也就是说，现在最值得相信的，不是某一次吃完后数值高一点还是低一点，而是你已经有了一块能拿来做“自己和自己比较”的底座。" } }, { "type": "callout", "fact_refs": [ "journey_window", "achievement_analyzable", "achievement_trusted" ], "payload": { "tone": "green", "title": "核心判断", "md": "这段观察目前最可靠的价值，是已经建立起一个可用于减重决策的个人比较底座：在可比场景下，你出现了可重复、但受情境约束的餐后反应轮廓。现阶段更适合先和自己在相似条件下比较，再用单变量实验去测试什么动作能让同类餐后的起升、峰值或恢复更轻松；还不能把这些曲线直接解释成热量缺口、脂肪下降或胰岛素抵抗。" } }, { "type": "section", "fact_refs": [ "mature_pattern_04", "mature_pattern_05", "mature_pattern_07", "achievement_patterns", "mature_pattern_03", "mature_pattern_02", "quality_guardrail" ], "payload": { "title": "线索开始重复，但边界也同时出现", "intro": "最初的线索，不是来自单独一顿，而是多个可比场景里反复出现相近轮廓：午餐的餐后形态有 [[mature_pattern_04]]，零食的餐后形态有 [[mature_pattern_05]]，连餐次时间上的规律也有 [[mature_pattern_07]]，最终累积成 [[achievement_patterns]]。真正让判断收窄的，是反例和质量边界一起出现：早餐规律有 [[mature_pattern_03]]，零食反应维度也有 [[mature_pattern_02]]，再加上 [[quality_guardrail]] 被质量闸拦下，说明这里看到的是“可重复，但不是铁律”，而且不能把所有波动都当成身体本身的差异。" } }, { "type": "section", "fact_refs": [ "achievement_patterns", "mature_pattern_04", "mature_pattern_05", "mature_pattern_03", "mature_pattern_02" ], "payload": { "title": "看见的不是好坏标签，而是你的处理轮廓", "intro": "这段旅程里，多个可比较场景出现重复的餐后轮廓，这叫“个体内可重复性”——意思是先别急着跟别人比，先看你自己在相似情况下会不会反复出现相近走势。它的价值在于，减重相关的下一步可以建立在“与你自己对照”的实验上，而不是凭一次表现下结论。同时，部分成熟规律又带着反例，这叫“情境依赖性”——也就是有趋势，但不是每次都照同一个剧本走。所以现阶段不能把某类餐直接贴成固定的好或坏，更不能把曲线较平稳直接当成减脂已经发生的证据。" } }, { "type": "section", "fact_refs": [ "journey_groups_forming" ], "payload": { "title": "对减重有用的，是会筛出行为杠杆", "intro": "现在这段材料真正能为减重服务的，不是宣布结果已经发生，而是帮你把下一步问题问对：在相似的一餐里，什么单一动作能让起升、峰值或恢复更可控。因为综合判断本身仍在形成中，当前还有 [[journey_groups_forming]]，所以它更适合用来筛选对你本人真正有用的餐后行为杠杆，而不是推断热量、脂肪变化或代谢诊断。" } }, { "type": "callout", "fact_refs": [ "achievement_patterns" ], "payload": { "tone": "green", "title": "这意味着", "md": "你已经不必再把每一次餐后反应都当成孤立事件。接下来可以围绕愿意重复的一类相似餐，做“只改一个动作”的个人对照，看看哪种做法更容易让同类曲线回落和恢复。" } }, { "type": "callout", "fact_refs": [ "journey_groups_forming" ], "payload": { "tone": "amber", "title": "这不意味着", "md": "这还不等于已经形成热量缺口，不等于脂肪一定在下降，也不等于已经证明存在或改善了某种胰岛素问题。仅凭目前这些餐后曲线，还不能把较平稳直接翻译成减重结果。" } }, { "type": "section", "fact_refs": [ "latest_master_pattern_push" ], "payload": { "title": "下一次验证，要把问题问得更具体", "intro": "现在线索已经足够清楚，可以从继续看热闹，转到真正可证伪的一步。前面形成的规律已经把方向点明：别再泛泛地看高低，而是用同类餐来验证一个具体动作到底有没有帮助。" } }, { "type": "action_card", "fact_refs": [ "latest_master_pattern_push" ], "payload": { "priority": "high", "title": "相似一餐后的 10 分钟轻松步行测试", "track": "同一类相似餐后的完整餐后窗口", "md": "保持不变：选择未来愿意重复的一顿相似餐，尽量保持餐的内容与份量、进餐时段和进食速度一致。只改变一个动作：餐后 10 分钟内，进行 10 分钟轻松步行。观察三件事：起升速度、峰值高低、开始回落与恢复所需时间。如果步行那次更早开始回落或恢复更快，支持“餐后轻活动是对你有用的行为杠杆”；如果两次没有稳定差异，就下调这个假设，下一轮优先测试别的单一变量，而不是默认步行一定有效。" } }, { "type": "narrative", "fact_refs": [], "payload": { "title": "这段旅程已经拿到的，不只是曲线", "md": "接下来最重要的，不是把每一条线解释得更满，而是继续用同类餐、同类场景，把真正对减重有帮助的动作筛出来。" } }, { "type": "kpi_banner", "fact_refs": [ "achievement_analyzable", "achievement_trusted" ], "payload": { "level": "完成观察", "desc": "已形成一批可分析的餐后反应，其中大多数质量足以支撑主要判断。" } }, { "type": "kpi_banner", "fact_refs": [ "achievement_patterns" ], "payload": { "level": "规律解锁", "desc": "已经识别出达到成熟证据门槛的个人规律，可开始做与自己对照的测试。" } }, { "type": "kpi_banner", "fact_refs": [ "mature_pattern_03", "mature_pattern_02" ], "payload": { "level": "留下线索", "desc": "反例把结论从贴标签推进到找条件，让后续实验更有方向。" } }, { "type": "kpi_banner", "fact_refs": [ "quality_guardrail" ], "payload": { "level": "质量守门", "desc": "受限材料已被质量闸圈出，降低把传感器问题误读为身体反应的风险。" } }, { "type": "kpi_banner", "fact_refs": [ "journey_groups_forming", "latest_master_pattern_push" ], "payload": { "level": "看懂餐次", "desc": "现有材料已足以衔接到一个明确、单变量、可验证的下一餐动作。" } } ] }, "facts": [ { "id": "journey_window", "label": "冻结观察时间线", "value": "2026-08-07 至 2026-08-22", "unit": null, "time": null, "delta": null, "severity": "neutral", "series": [], "source_ref": [ "sha256:0a7806a2a56f64ff030307a6b132da9078a47cfe11a5ab5f1902f8cfa87981a7", "sha256:880f27879199715fbe174bde40c4bbcf8fa5c3960e72fe0d16dd1ddd8a9acad2" ], "note": "冻结材料覆盖 2026-08-07 至 2026-08-22 的 12 个有餐次记录的自然日；不能据此声称每天连续、完整佩戴。" }, { "id": "achievement_analyzable", "label": "已完成分析的餐后反应", "value": "18", "unit": "次可分析的餐后反应", "time": null, "delta": null, "severity": "neutral", "series": [], "source_ref": [ "sha256:33365d2d72dc50780930b0947350fcaa015f6d7259fdb3e309cc0dafa80b7eb3" ], "note": "共 19 个 GRS 事实：18 次 final；另 1 次仍 collecting。该数字不是用户总进餐次数。" }, { "id": "achievement_trusted", "label": "质量可用于主要判断的餐后反应", "value": "15", "unit": "次", "time": null, "delta": null, 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"sha256:22bad3453dec5b1fda95fc5a93b60b06c3fd325d43ff863d7b4666e818de8d25", "sha256:92a7b70293d00f94043d7e3d7c41d4e0cc75aba1c819e33b10d2112bf4d5484e", "sha256:3827d8ab30e699e97e3861692d88be0a6958de6fec804063d5b1e13e70661fc4", "sha256:042f547bc2221f77e7695f860b97b4c1fff1b43c0d87dd9b40a775767c592808", "sha256:c6753ca457f961047742ab0918543e913b52ed0bd991fa6f9b688a12c11ec471" ], "note": "跨 6 个 pattern_mature wake 去重后的 subject 数；成熟表示可比较重复，不等于已证明因果或评价为好。" }, { "id": "mature_pattern_03", "label": "breakfast 餐后曲线形态规律", "value": "3 次支持 / 1 次反例", "unit": null, "time": null, "delta": null, "severity": "neutral", "series": [], "source_ref": [ "sha256:908f085ea0b9fa8296863b4dfe4b39d23e87cfa46711afbcfbaf201c02865cd4", "sha256:3827d8ab30e699e97e3861692d88be0a6958de6fec804063d5b1e13e70661fc4" ], "note": "{\"subject_id\": \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_shape:breakfast\", \"material_type\": \"meal_response_shape_pattern\", \"state\": \"mature\", \"eligible_count\": 4, 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\"4441fe45-8354-5514-b800-af178ccbe531\", \"shapes\": [\"biphasic\", \"no_settle\"], \"source_ref\": \"4441fe45-8354-5514-b800-af178ccbe531\"}], \"quality_exclusions\": []}" }, { "id": "quality_guardrail", "label": "被质量闸限制的餐后反应", "value": "3", "unit": "次", "time": null, "delta": null, "severity": "neutral", "series": [], "source_ref": [ "meal-grs:2364a8bbe3e7c3230fdd20fb4160b489ede8e009deca9d57032febddc3a2a0ce", "meal-grs:fa5dd2a9eaa5f0411d31052cfe9760b42967188dd5b47498076d70452f038c60", "meal-grs:0f37dc260112e45db5a676ac8501551064a7eeebfd15544cacd16c5cef4b3924" ], "note": "[{\"meal_started_at\": \"2026-08-06T17:46:45Z\", \"trust\": \"suspect\", \"quality_flags\": [\"compressed\", \"warmup\"]}, {\"meal_started_at\": \"2026-08-07T00:52:45Z\", \"trust\": \"suspect\", \"quality_flags\": [\"warmup\"]}, {\"meal_started_at\": \"2026-08-09T22:55:43Z\", \"trust\": \"untrusted\", \"quality_flags\": [\"implausible\", \"range_collapse\"]}]" }, { "id": "journey_groups_forming", "label": "旅程综合判断仍在形成", "value": "4 个解释组仍在形成", "unit": null, "time": null, "delta": null, "severity": "neutral", "series": [], "source_ref": [ "sha256:26715b010db9cd5d7ee74f7429ac293cdafb03a88c057a9fc0191efd68d343a5" ], "note": "{\"cognition\": {}, \"groups\": [{\"interpretation_state\": \"forming\", \"key\": \"meal_rhythm\", \"pattern_refs\": [\"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_time:breakfast\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_time:late_night\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_time:lunch\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_time:snack\"]}, {\"interpretation_state\": \"forming\", \"key\": \"peak_load\", \"pattern_refs\": [\"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_dimension:breakfast\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_dimension:late_night\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_dimension:lunch\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_shape:lunch\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_shape:snack\"]}, {\"interpretation_state\": \"forming\", \"key\": \"recovery\", \"pattern_refs\": [\"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_dimension:snack\", \"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_shape:breakfast\"]}, {\"interpretation_state\": \"forming\", \"key\": \"starting_state\", \"pattern_refs\": [\"f259ed4c-e8e0-4b2d-a94a-d9826f1a4b27:meal_response_contrast:breakfast_vs_lunch\"]}], \"material_revision\": \"sha256:038dba4ee5281a0cdf5b1e20d6a133e75b9f80291d24c8a06d0d446df57c8b1b\"}" }, { "id": "latest_master_pattern_push", "label": "最新 master 生成的 pattern push（待审阅）", "value": "最近三次这类餐后的曲线很像，已经能算你自己的稳定规律了。\n\n这说明比起套通用高低，更该看你同餐同状态下的一贯反应；但单凭这一点还不能说好坏，还得连同上升、峰值和下降一起看，才知道身体处理这类餐是否轻松。\n\n下次吃相似的一餐后轻松走10分钟，看看血糖会不会更早开始下降、恢复得更快。", "unit": null, "time": "2026-08-22T02:55:18.159734Z", "delta": null, "severity": "neutral", "series": [], "source_ref": [ "replay:26ce8ba871c8:21:companion", "sha256:b3fb1fbbf6f4d3867c9862040e853089f89394ec77829fa452be233ebccff0ea" ], "note": "这是 latest-master 内容输出，只用于审计旅程衔接与行动建议，不是独立生理证据。message_source=research_fallback。Scientist 必须纠正或限制任何越过冻结证据的机制推断。" } ], "meta": { "model": "gpt-5.4", "gather_model": "(recompose)", "elapsed_s": 38.6, "facts_recorded": 12, "blocks": 15, "usage": { "input_tokens": 52221, "output_tokens": 3564, "total_tokens": 55785, "cache_read": 0 }, "phases": [ { "name": "scientist", "model": "gpt-5.4", "input_tokens": 29762, "output_tokens": 1766, "total_tokens": 31528, "cache_read": 0 }, { "name": "compose", "model": "gpt-5.4", "input_tokens": 22459, "output_tokens": 1798, "total_tokens": 24257, "cache_read": 0 } ], "cost_usd": 0.0, "review_log": [], "scientist": { "decision": "thesis", "confidence": "moderate", "core_judgment": "这段冻结观察旅程目前最可靠的价值，不是把某一餐直接判成“好”或“坏”，而是已经建立起一个可用于减重决策的个人比较底座：同一个人在可比场景下出现了可重复、但受情境约束的餐后反应轮廓。换句话说，现阶段更适合先拿这个人与自己在相似条件下比较，再用单变量实验测试什么动作能让同类餐后的起升、峰值或恢复更轻松；证据还不足以把这些曲线直接解释成热量缺口、脂肪下降或胰岛素抵抗。", "approved_fact_count": 12 } }, "transcript": [ { "phase": "scientist", "type": "HumanMessage", "tool_calls": [], "content": "JTBD=减重。\nRelationship=冻结材料没有用户主动陈述的共同记忆或偏好，不得推断；语气是专业人士向熟悉的朋友交代检查结果，但不得虚构称呼、姓名、对话或双方共同经历。\n\n这是 3326* 用户经过去标识化后的冻结 wake。报告标题和正文不得出现 user id、哈希或代号。冻结材料的餐次时间线为 2026-08-07 至 2026-08-22，但这不证明逐日连续佩戴；请称“这段冻结观察旅程”，不要自行发明佩戴天数。\n\n两个 latest_master_*_push 是刚刚在最新 master 上回放出的待审阅文案，不是独立生理证据。meal push 中“这种节奏反复出现，身体以后可能会对胰岛素没那么敏感”不能由当前 collecting 单餐直接推出；除非其他冻结事实独立支持，否则不得沿用。pattern push 的三次相似曲线可以作为个人可比较性线索，但“稳定规律”必须同时交代两次反例，不能等同于好坏评价或减脂结果。\n\n建立一个统一核心判断，回答：这段旅程对 TA 的减重究竟提供了什么可执行价值，以及证据还不能说明什么。优先使用有反例的重复个人规律和质量闸；不按早餐午餐零食罗列。没有真实食物记录，不得归因食物或热量。只允许一张图：若 Scientist 认为 8 月 22 日同餐连续局部曲线真正推动核心故事，可以批准 current_collecting_cur" }, { "phase": "scientist", "type": "AIMessage", "tool_calls": [], "content": "{\"decision\":\"thesis\",\"confidence\":\"moderate\",\"jtbd\":\"减重\",\"core_judgment\":\"这段冻结观察旅程目前最可靠的价值，不是把某一餐直接判成“好”或“坏”，而是已经建立起一个可用于减重决策的个人比较底座：同一个人在可比场景下出现了可重复、但受情境约束的餐后反应轮廓。换句话说，现阶段更适合先拿这个人与自己在相似条件下比较，再用单变量实验测试什么动作能让同类餐后的起升、峰值或恢复更轻松；证据还不足以把这些曲线直接解释成热量缺口、脂肪下降或胰岛素抵抗。\",\"findings\":[{\"role\":\"support\",\"claim\":\"这段旅程已经有足够数量的可分析、且多数质量可用于主要判断的餐后反应，可支持“先做个人内比较”的核心模型。\",\"explanation\":\"冻结材料覆盖的是一段有餐次记录的观察旅程，而不是已证实逐日连续佩戴；在这个边界内，已形成可分析餐后反应，并且大多数质量可用于主要判断，因此可以开始找“同一个人重复出现的轮廓”，而不是只看单次高低。\",\"evidence_refs\":[\"journey_window\",\"achievement_analyzable\",\"achievement_trusted\"]},{\"role\":\"support\",\"claim\":\"重复形态已经跨多个可比场景出现，说明个人内可重复" }, { "phase": "editor", "type": "HumanMessage", "tool_calls": [], "content": "下面是 Scientist 已完成反证审查的结构化判断。只把它写成一段五章旅程，不得重新分析或新增结论；只使用系统提示中的批准事实。必须调用 finalize_report，不要输出普通文字。\n\n# ScientificJudgment\n{\"decision\": \"thesis\", \"confidence\": \"moderate\", \"jtbd\": \"减重\", \"core_judgment\": \"这段冻结观察旅程目前最可靠的价值，不是把某一餐直接判成“好”或“坏”，而是已经建立起一个可用于减重决策的个人比较底座：同一个人在可比场景下出现了可重复、但受情境约束的餐后反应轮廓。换句话说，现阶段更适合先拿这个人与自己在相似条件下比较，再用单变量实验测试什么动作能让同类餐后的起升、峰值或恢复更轻松；证据还不足以把这些曲线直接解释成热量缺口、脂肪下降或胰岛素抵抗。\", \"findings\": [{\"role\": \"support\", \"claim\": \"这段旅程已经有足够数量的可分析、且多数质量可用于主要判断的餐后反应，可支持“先做个人内比较”的核心模型。\", \"explanation\": \"冻结材料覆盖的是一段有餐次记录的观察旅程，而不是已证实逐日连续佩戴；在这个边界内，已形成可分析餐后反应，并且大多数质量可用于主要判断，因此可以开始找“同一个人重复出现的轮廓”，而不是只看单次高低。\", " }, { "phase": "editor", "type": "AIMessage", "tool_calls": [ "finalize_report" ], "content": "" }, { "phase": "editor", "type": "ToolMessage", "tool_calls": [], "content": "{\"ok\": true, \"blocks\": 15, \"facts_cited\": 12, \"auto_linked\": 0, \"unmatched_numbers\": 0, \"message\": \"Report accepted. You may stop now.\"}" }, { "phase": "editor", "type": "AIMessage", "tool_calls": [], "content": "" } ] }