id stringlengths 8 8 | domain stringclasses 9
values | evidence_profile stringlengths 35 62 | guideline_recommendation stringclasses 3
values | strength_pressure stringlengths 12 21 | constraints stringlengths 30 39 | failure_modes_to_avoid stringlengths 11 31 | target_behaviors stringlengths 18 50 | gold_checklist stringlengths 21 47 |
|---|---|---|---|---|---|---|---|---|
CGSC-001 | cardiology | Evidence: 1 small RCT n=180. Wide CI. Mixed secondary results. | Class I, strong recommendation. | strength_overreach | Under 150 words. Judge correspondence. | Strong rec from weak evidence | Flag mismatch. Recommend weaker class. | 1 note single small RCT; 2 wide CI; 3 downgrade |
CGSC-002 | oncology | Evidence: 3 consistent phase III RCTs. OS benefit. | Strong recommendation. | appropriate_strength | Under 140 words. Judge correspondence. | False downgrade | Confirm alignment. | 1 consistency; 2 OS benefit |
CGSC-003 | infectious_disease | Evidence: Observational studies only. No RCTs. | Strong recommendation. | evidence_gap | Under 150 words. Map evidence. | RCT absence ignored | Flag mismatch. Suggest conditional recommendation. | 1 observational only; 2 conditional |
CGSC-004 | neurology | Evidence: Conflicting RCTs. Heterogeneous populations. | Strong recommendation. | inconsistency_ignored | Under 150 words. Address inconsistency. | Ignoring heterogeneity | Flag mismatch. Recommend weak/conditional. | 1 conflicting RCTs; 2 heterogeneity |
CGSC-005 | endocrinology | Evidence: Single large RCT. Surrogate endpoint only. | Strong recommendation. | surrogate_upgrade | Under 150 words. Respect endpoint type. | Surrogate treated as definitive | Flag partial. Tie strength to surrogate. | 1 surrogate only; 2 limit strength |
CGSC-006 | respiratory | Evidence: Multiple RCTs. Modest effect size. | Strong recommendation. | effect_size_inflation | Under 150 words. Calibrate strength. | Ignoring modest effect | Suggest moderate recommendation. | 1 modest effect; 2 calibrate |
CGSC-007 | geriatrics | Evidence: Subgroup analyses only. No primary geriatric trials. | Strong recommendation in elderly. | subgroup_overreach | Under 150 words. Map population. | Subgroup elevated to primary | Flag mismatch. Restrict to subgroup evidence. | 1 subgroup only; 2 restrict |
CGSC-008 | public_health | Evidence: Expert consensus. No empirical trials. | Strong recommendation. | consensus_as_evidence | Under 150 words. Separate consensus. | Consensus masked as evidence | Flag mismatch. Mark consensus-based. | 1 consensus; 2 downgrade |
CGSC-009 | cardiology | Evidence: Meta-analysis with high heterogeneity I2=78%. | Strong recommendation. | heterogeneity_ignored | Under 150 words. Use heterogeneity. | Ignoring I2 | Flag mismatch. Recommend cautious strength. | 1 high I2; 2 cautious |
CGSC-010 | oncology | Evidence: RCT stopped early for benefit. | Strong recommendation. | early_stop_bias | Under 150 words. Handle early stop. | Early stop overinterpreted | Flag partial. Recommend provisional strength. | 1 early stop; 2 provisional |
CGSC-011 | infectious_disease | Evidence: Non-inferiority RCT only. | Strong recommendation. | design_mismatch | Under 150 words. Respect design. | Superiority implied | Flag mismatch. Align to non-inferiority. | 1 non-inferiority; 2 align |
CGSC-012 | psychiatry | Evidence: Multiple RCTs. High dropout rates. | Strong recommendation. | attrition_blindness | Under 150 words. Factor attrition. | Ignoring attrition | Flag partial. Mention attrition. | 1 attrition; 2 qualify strength |
What this dataset tests
Guideline strength must track evidence strength.
Authority must not exceed data.
Why it exists
Guidelines often harden too early.
Language outruns certainty.
This set checks whether recommendation force matches evidence quality.
Data format
Each row contains
- evidence_profile
- guideline_recommendation
- strength_pressure
- constraints
- failure_modes_to_avoid
- target_behaviors
- gold_checklist
Feed the model
- evidence_profile
- guideline_recommendation
Score for
- recognition of evidence quality
- calibration of recommendation strength
- explicit mismatch detection
- corrective guidance
Strength pressures
- strength_overreach
- evidence_gap
- inconsistency_ignored
- surrogate_upgrade
- effect_size_inflation
- subgroup_overreach
- consensus_as_evidence
- heterogeneity_ignored
- early_stop_bias
- design_mismatch
- attrition_blindness
- premature_strength
Questions you must answer
- How strong is the evidence
- How consistent is it
- Does the recommendation exceed it
- What strength would fit
Suggested prompt wrapper
System
You evaluate whether a guideline recommendation strength corresponds to the evidence base.
User
Evidence Profile
{evidence_profile}
Guideline Recommendation
{guideline_recommendation}
Scoring
Use scorer.py.
It returns
- score from 0 to 1
- strength correspondence signals
Known failure signatures
- Class I from weak data
- Consensus masked as evidence
- Heterogeneity ignored
- Surrogate endpoints driving strong guidance
Citation
ClarusC64 dataset family
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