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Real fairness, calibration, and baseline-gap artifacts from the canonical run
- #74
#74
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duckyquang
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criticaldata/PRIMED-AI:feat/eval-artifacts
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Sep 9, 2026
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Real fairness, calibration, and baseline-gap artifacts from the canonical run
#74
duckyquang
merged 22 commits into
main
criticaldata/PRIMED-AI:main
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feat/eval-artifacts
criticaldata/PRIMED-AI:feat/eval-artifacts
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Commits on Aug 12, 2026
Record pooled rerun results and cohort sensitivity
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Fit the EF<=40 Platt scaler on val predictions instead of in-sample
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Stratify fairness from the joined manifest, per missing-modality condition
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Add the in-cohort fused vs solo comparison behind the E10 diagnosis
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Let the failure harness read the joined manifest
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Record measured fairness, calibration, and gap-diagnosis results in the docs
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Commits on Aug 13, 2026
Pin run provenance to one canonical checkpoint path plus content hashes
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Commit sanitized aggregate results with checksums
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Read the ECG-dropped condition as a below-chance failure
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Record how many bootstrap replicates each AUROC interval rests on
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Name the model behind every failure-analysis artifact
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Give every artifact one canonical location
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Stop two artifacts from degrading quietly
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Build the failure views from the fused checkpoint's own predictions
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Commits on Aug 29, 2026
Regenerate canonical result artifacts
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Add fused checkpoint failure artifact
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Merge feat/eval-artifacts into feat/fused-failure-views
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Match the docs to the regenerated artifacts
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Exclude range upper-bound LVEF readings from the label chain
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Merge pull request #85 from criticaldata/fix/lvef-upper-exclusion
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Merge feat/eval-artifacts: label-chain exclusion and regenerated docs
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Merge pull request #81 from criticaldata/feat/fused-failure-views
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