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feat: measure the shortlist funnel loss, then size the shortlist per patient
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feat: measure the shortlist funnel loss, then size the shortlist per patient
#30
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Commits on Aug 6, 2026
feat(eval): expose the shortlist funnel loss in TREC metrics
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feat(search): per-patient shortlist depth from the first-level score curve
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feat(trec): comparison harness for the shortlist A/B, and persist second-level scores
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feat(search): implement the first-level LLM query expansion backend
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fix(trec): judge shortlist depth on recall-aware metrics, not ndcg@10
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Commits on Aug 7, 2026
feat(agent): deterministic verification of the reasoner's eligibility claims
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fix(agent): make verification sound, and record that it does not pay on TREC
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docs(ranker): record that softening the disqualification rule was measured and is worse
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Commits on Aug 13, 2026
feat(reranker): add graded relevance scoring alongside the binary Yes/No mode
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feat(search): make second-level width configurable, and size the reasoning budget per trial
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fix(trec): stop the funnel preset silently overwriting an explicit config
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refactor(search): fold broader categories into keywords.json, drop llm_expansion, widen the funnel
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chore: untrack benchmarks/, ignore experiment outputs, add analysis scripts
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