| --- |
| license: mit |
| language: |
| - en |
| task_categories: |
| - text-classification |
| tags: |
| - clarus |
| - clinical |
| - quad-coupling |
| - population-shift |
| - protocol-deviation |
| - site-variance |
| - endpoint-fragility |
| pretty_name: Clinical Quad Population Shift Protocol Deviation Site Variance Endpoint Fragility v0.2 |
| --- |
| |
| Clinical Quad Population Shift Protocol Deviation Site Variance Endpoint Fragility v0.2 |
|
|
| What this dataset does |
|
|
| It tests whether a model can detect when clinical trial endpoints lose credibility under quad coupling. |
|
|
| Quad nodes |
|
|
| - population_shift |
| - protocol_deviation_rate |
| - site_variance_level |
| - endpoint_fragility |
|
|
| Labels |
|
|
| 0 coherent |
| - Stable population |
| - Low deviations |
| - Low site variance |
| - Endpoint robust |
|
|
| 1 tradeoff |
| - Some drift exists |
| - Endpoint still usable |
| - Risk is present but not terminal |
|
|
| 2 collapse |
| - Endpoint credibility breaks |
| - Drift becomes structural |
| - Site or deviation pressure overwhelms interpretation |
|
|
| What changed in v0.2 |
|
|
| - Version bumped to make scorer changes visible |
| - New scorer with validation and id-based matching |
| - Confusion and error sampling added |
| - Risk score and rule_pred diagnostics added |
| |
| Files |
| |
| data/train.csv |
| data/test.csv |
| scorer.py |
| |
| Run scoring |
| |
| python scorer.py --preds_csv predictions.csv --gold_csv data/test.csv |
