id stringclasses 6
values | prompt stringclasses 6
values | gold_json stringclasses 6
values | reference_notes stringclasses 6
values | __index_level_0__ stringclasses 6
values |
|---|---|---|---|---|
Quad endpoint adjudication analysis. Stroke trial. Site cluster shows lower primary endpoint rate. Imaging uploads delayed 6 days. Adjudication committee notes incomplete source packets in 14%. Conmed anticoagulant start dates missing 12%. Governance: interim efficacy look in 3 weeks. Determine adjudication bias risk a... | {"adjudication_bias_risk":true,"bias_type":"incomplete_packet_underascertainment","driver_nodes":["lower endpoint rate cluster","imaging upload delay","incomplete source packets","missing anticoagulant timing and interim look"],"recommended_action":"packet_reconciliation_before_lock","action_detail":["complete source p... | confidence":0.86} | Underascertainment via packet gaps. | EA-001 |
Quad endpoint adjudication analysis. Cardiology device trial. MI events similar across sites but seriousness grading differs. ECG attachments missing 18% at two sites. Adjudication queries unresolved for 11 days. Governance: DSMB review next week. Determine bias risk and action. JSON only. | {"adjudication_bias_risk":true,"bias_type":"grading_inconsistency_bias","driver_nodes":["grading variability","missing ECG attachments","adjudication query backlog","imminent DSMB review"],"recommended_action":"standardize_and_clear_queries","action_detail":["standardize seriousness grading criteria","retrieve missing ... | confidence":0.83} | Classification drift. | EA-002 |
Quad endpoint adjudication analysis. Oncology trial. Progression events higher at high-enrolling sites. Imaging read dates inconsistent with visit dates in 9%. Conmed steroid exposure undocumented in 16%. Governance: sponsor pressure for positive signal before financing round. Determine bias risk and action. JSON only. | {"adjudication_bias_risk":true,"bias_type":"timing_misalignment_bias","driver_nodes":["progression cluster at high-enrolling sites","imaging-date misalignment","missing steroid exposure","external sponsor pressure"],"recommended_action":"independent_read_and_exposure_capture","action_detail":["perform independent blind... | confidence":0.81} | Pressure node included. | EA-003 |
Quad endpoint adjudication analysis. Neurology trial. Seizure frequency endpoints vary by region. eDiary completeness 78% at one region vs 94% network. Adjudication panel rotation changed 2 weeks ago. Governance: data freeze in 10 days. Determine bias risk and action. JSON only. | {"adjudication_bias_risk":true,"bias_type":"panel_and_missingness_effect","driver_nodes":["regional seizure variance","eDiary missingness gap","recent panel rotation","upcoming data freeze"],"recommended_action":"stabilize_panel_and_reassess","action_detail":["reconcile eDiary completeness","review panel calibration co... | confidence":0.82} | Panel composition as node. | EA-004 |
Quad endpoint adjudication analysis. Pulmonary trial. Exacerbation endpoints lower than expected. Spirometry quality flags missing in 13%. Adjudication notes lack baseline symptom context. Conmed steroid bursts recorded late. Governance: marketing team expects strong outcome announcement. Determine bias risk and action... | {"adjudication_bias_risk":true,"bias_type":"quality_flag_and_context_bias","driver_nodes":["lower exacerbation rate","missing spirometry quality flags","lack of baseline symptom context","late steroid documentation and announcement pressure"],"recommended_action":"quality_and_context_review","action_detail":["restore s... | confidence":0.84} | Announcement pressure node. | EA-005 |
Quad endpoint adjudication analysis. Metabolic trial. HbA1c responder rate varies across adjudicators. Lab import lag 3 days. Insulin adjustment timing undocumented in 19%. Governance: regulator briefing in 2 weeks. Determine bias risk and action. JSON only. | {"adjudication_bias_risk":true,"bias_type":"inter_adjudicator_variance","driver_nodes":["responder variance by adjudicator","lab import lag","missing insulin timing","regulator briefing timeline"],"recommended_action":"calibrate_and_reconcile","action_detail":["conduct adjudicator calibration session","clear lab import... | confidence":0.85} | Calibration required. | EA-006 |
Clarus Clinical Quad Coupling Endpoint Adjudication Bias Missingness Timing Pressure v0.1
What this dataset is
This dataset tests whether a model can detect endpoint adjudication bias created by four interacting forces.
Quad coupling nodes
- Endpoint rate or classification shift
- Data latency or packet incompleteness
- Concomitant exposure or contextual missingness
- Governance pressure such as interim look, submission, earnings, or regulator briefing
Input
- One vignette
Output
Return strict JSON only.
Required output JSON keys
- adjudication_bias_risk
- bias_type
- driver_nodes
- recommended_action
- action_detail
- rationale
- confidence
Files
- data/train.csv
- data/test.csv
- scorer.py
Scoring
- Required key presence
- Bias classification
- Bias type match
- Driver node overlap
- Recommended action match
- Action detail completeness
- Rationale length
- Confidence within 0 to 1
Run scoring
Create JSONL
{"id":"EA-T01","output":"{...your json...}"}
Run
python scorer.py --gold_csv data/test.csv --preds_jsonl your_outputs.jsonl
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