ahrq-picme-assessment

# AHRQ PiCMe Assessment Use the AHRQ PiCMe framework to systematically assess a research gap across 6 dimensions. ## HARD-GATE <HARD-GATE> - Input must be a GapRecord with status: "complete" - All 6 dimensions (P/I/C/M/E + overall verdict) must be completed; none may be skipped - Each dimension must have an independent score (1-5) and a textual rationale - overall_verdict must be one of "strong" | "moderate" | "weak" </HARD-GATE> ## Pipeline 1. **Precondition check**: verify completeness of the input GapRecord; confirm the domain field is valid 2. **Population (P)**: identify the target population/system/dataset the gap concerns; assess clarity of definition (1-5) 3. **Intervention (I)**: identify the proposed intervention/method/solution; assess operationalizability (1-5) 4. **Comparator (C)**: identify the comparison baseline (existing SOTA, no intervention, alternative approach); assess baseline reasonableness (1-5) 5. **Metrics (M)**: identify the evaluation metrics; assess their measurability and relevance (1-5) 6. **Evidence (E)**: assess the strength of existing evidence supporting the existence of the gap (1-5) 7. **Overall verdict**: judge overall quality from the mean of the 5 dimensions (strong ≥ 3.5 / moderate 2.5-3.4 / weak < 2.5); generate a research question draft 8. **Output**: return the PiCMeAssessment object ## Output Format ```json { "gap_id": "gap_001", "dimensions": { "population": { "score": 4, "description": "Target population descriptio...