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<title>AI 預測驗證 D14 Correction Router & Weekly Scorecard</title> |
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<h1>D14 Correction Router & Weekly Scorecard</h1> |
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<p class="sub">接續 D7 calibration run：把 miss、partial、unknown、reviewer dispute 轉成可派工的修復路由，並定義 D30 weekly scorecard 上線前的資料、權限、稽核與採用門檻。</p> |
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<p><span class="tag">Owner: Louis</span><span class="tag">Review: zihrou / iron</span><span class="tag">Due: 2026-06-07</span><span class="tag">No route, no close</span></p> |
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<div class="panel metric"><span class="label">D14 Goal</span><span class="value">100%</span><span class="label">non-hit items routed</span></div> |
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<div class="panel metric"><span class="label">Source Gap SLA</span><span class="value warn">7d</span><span class="label">adapter owner must respond</span></div> |
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<div class="panel metric"><span class="label">Re-run Cohort</span><span class="value ok">>=10</span><span class="label">fixed cases before D30 scorecard</span></div> |
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<div class="panel metric"><span class="label">Release Gate</span><span class="value stop">Block</span><span class="label">if unresolved gap > 20%</span></div> |
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<h2>30 天推進路徑</h2> |
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<div class="grid cols4"> |
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<div class="lane"><h3>D1</h3><p>讀取 D7 run scorecard，鎖定所有 miss、partial、unknown、dispute。</p></div> |
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<div class="lane"><h3>D7</h3><p>完成路由分類：rubric fix、source adapter gap、owner follow-up、model prompt fix。</p></div> |
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<div class="lane"><h3>D14</h3><p>每個路由有 owner、due、evidence、repair action，並啟動 re-run cohort。</p></div> |
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<div class="lane"><h3>D30</h3><p>週報 scorecard 上線：accuracy trend、unknown trend、repair cycle time、adoption gate。</p></div> |
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<h2>目的到目的 E2E</h2> |
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<tr><th>階段</th><th>輸入</th><th>產出</th><th>人如何採用</th><th>指標改善</th></tr> |
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<tr><td>原始目的</td><td>上次 review 預測與多來源 evidence</td><td>D7 labels</td><td>Louis 看是否可信</td><td>降低 false confidence</td></tr> |
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<tr><td>D14 修復</td><td>miss/unknown/dispute</td><td><code>correction_route</code></td><td>zihrou/iron 確認責任歸因</td><td>縮短人工追查時間</td></tr> |
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<tr><td>D30 採用</td><td>已修復 cohort 與 re-run 結果</td><td><code>weekly_scorecard</code></td><td>PLS 推送週報與下一輪派工</td><td>提高 AI review 可治理性</td></tr> |
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<h2>Correction Router</h2> |
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<table> |
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<tr><th>Route</th><th>When</th><th>Owner</th><th>Acceptance</th></tr> |
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<tr><td>rubric_fix</td><td>prediction wording or success criteria was ambiguous</td><td>zihrou</td><td>new rubric tested on >=10 historical cases</td></tr> |
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<tr><td>source_adapter_gap</td><td>evidence exists but signal/action-item sync missed it</td><td>iron</td><td>adapter maps source id, timestamp, extractor version</td></tr> |
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<tr><td>owner_followup</td><td>human action status is unknown</td><td>Louis delegate</td><td>owner replies done / blocked / rejected</td></tr> |
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<tr><td>model_prompt_fix</td><td>model overpredicted from weak signal</td><td>PLS worker</td><td>prompt version and before/after eval recorded</td></tr> |
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<h2>價值 / 錢路徑</h2> |
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<ul> |
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<li>營收：只把通過驗證的 AI review 模式放進業務或管理流程，避免錯誤建議拉低成交與決策品質。</li> |
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<li>省成本：用 route taxonomy 取代逐案人工討論，讓 reviewer 只處理高風險樣本。</li> |
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<li>降風險：未知率與 source gap 未修前禁止 dashboard 化，避免漂亮圖表掩蓋資料缺口。</li> |
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<li>釋放人力：把每個 miss 直接變成 owner/due/acceptance 的下一步，不再靠人追問。</li> |
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</ul> |
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<div class="panel"><h2>Data / API</h2><p>新增 <code>correction_route</code>、<code>repair_action</code>、<code>rerun_cohort</code>、<code>weekly_prediction_scorecard</code>。API: <code>POST /routes/bulk</code>、<code>PATCH /routes/:id</code>、<code>POST /reruns</code>、<code>GET /weekly-scorecard</code>。</p></div> |
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<div class="panel"><h2>權限 / 稽核</h2><p>Owner 可 close route；reviewer 可改 dispute status；worker 可寫路由與 re-run 結果。每筆修改保留 evidence hash、actor、timestamp、model/prompt version。</p></div> |
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<div class="panel"><h2>提升人的能力</h2><p>Louis 得到 go/no-go 節奏；zihrou 把模糊預測變 rubric；iron 把資料缺口變 adapter backlog；PLS worker 知道下一輪要修哪一類。</p></div> |
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</section> |
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<h2>LINE 草稿</h2> |
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<p>AI 預測驗證進入 D14 修復路由。請 Louis 確認 2026-06-07 前所有 D7 non-hit 都要有 owner/due/next action；zihrou 看 rubric_fix；iron 看 source_adapter_gap。若 unresolved gap >20%，D30 weekly scorecard 不上線，只派 source/rubric 修復。</p> |
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