Add cluster-bootstrap 95% CIs for the perturbation recall tables#103
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Add cluster-bootstrap 95% CIs for the perturbation recall tables#103dangng2004 wants to merge 1 commit into
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ci_recall.py reports the §5 recall tables with 95% bootstrap CIs over papers (resampling unit = paper, pooled recall = sum(detected)/sum(injected)). Point estimates match the perturbation scorer. Also gitignores generated figures under perturbation/plots/. Split out of the AUC CI PR. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Split out of #98 (which is now AUC-only).
Adds
benchmarks/perturbation/ci_recall.py: 95% confidence intervals around the §5 recall numbers via a cluster bootstrap over papers (resampling unit = paper, pooled recall = sum(detected)/sum(injected), 5000 draws, seed 42, percentile method). Point estimates match the perturbation scorer, e.g. GPT-5.5 progressive = 571/797 = 71.6%.Also gitignores generated figures under
benchmarks/perturbation/plots/.Result JSONs are gitignored (large), so running requires the local data.