Datasetpublic

ClarusC64/clinical-quad-consent-version-drift-reconsent-gap-enrollment-pressure-governance-audit-v0.1

Clarus Clinical Quad Coupling Informed Consent Integrity v0.1 PurposeDetect consent integrity failures driven by four interacting nodes. Quad nodes Consent version drift or addendum mismatch Re-consent gap after material risk change Enrollment pressure or incentives Governance audit or regulator timing InputOne vignette. OutputStrict JSON only. Required keys consent_integrity_risk risk_type driver_nodes recommended_action action_detail rationale confidence… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-consent-version-drift-reconsent-gap-enrollment-pressure-governance-audit-v0.1.

sourceHugging Facemitupdated 7mo agoView on Hugging Face

0likes35downloads

Dataset Card

Clarus Clinical Quad Coupling Informed Consent Integrity v0.1

Purpose Detect consent integrity failures driven by four interacting nodes.

Quad nodes

—Consent version drift or addendum mismatch
—Re-consent gap after material risk change
—Enrollment pressure or incentives
—Governance audit or regulator timing

Input One vignette.

Output Strict JSON only.

Required keys

—consentintegrityrisk
—risk_type
—driver_nodes
—recommended_action
—action_detail
—rationale
—confidence

Files data/train.csv data/test.csv scorer.py

Run scoring Create JSONL predictions.

python scorer.py --goldcsv data/test.csv --predsjsonl preds.jsonl