evaluating-with-leakage-gates

仓库创建 2025年10月4日最近提交 3 小时前SkillHot 收录 3 小时前
▸ 精选理由

把关注点从F1转为残余泄露,适用于发布前合规审查

▸ 风险提示

评估通常需要含真实PHI的黄金集,操作时需严格管控数据访问。

这个 Skill 做什么

用泄露优先的G1a–G8门控评估去标识化/NER模型是否存在残余PHI泄露。

把模型放到以泄露为优先的 G1a–G8 审核门里跑,核心目标是找出任何残留的 PHI,而不是只看总体 F1。通常用合成金标集合做评估,决定模型是 RELEASABLE 还是 QUARANTINED,并强制每类直接标识符的召回下限或要求关键泄露为零。会产出带证据的门控报告,方便合规放行决策。

▸ 展开 SKILL.md 英文原文

Evaluate an OpenMed de-identification or clinical NER model against the leakage-first release gates G1a through G8, which gate releases on residual PHI leakage rather than on F1. Use when the user wants to run the OpenMed eval harness on a synthetic golden set, decide whether a de-id model is RELEASABLE or QUARANTINED, enforce direct-identifier recall floors, require zero critical leakage, fit calibration thresholds, or produce a signed gate report. Trigger on "release gate", "leakage", "is this model safe to ship", "G1a", "G3", "quarantine", "recall floor", or "calibration thresholds" in an OpenMed de-id context.

研究检索评估泄露门控De-ID通用
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# Evaluating with Leakage Gates

OpenMed's release gates answer one question: **did any PHI leak?** A de-id model
with a beautiful F1 can still leak a single SSN — and that one leak is a HIPAA
breach. So `openmed.eval` gates on *residual leakage* and *per-label recall
floors*, not on aggregate F1. The candidate is either `RELEASABLE` or
`QUARANTINED`; there is no partial credit.

## When to use this skill

- You have a candidate de-id or PII model and need a ship / no-ship decision.
- You want to run the benchmark harness over a **synthetic** golden suite.
- You need to enforce direct-identifier recall floors and `critical_leakage == 0`.
- You need calibration thresholds (`thresholds.json`) 
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