| |
| """ |
| Stratified audit script for UnsolvedMed (v1.0.0 / v1.5.0 / v2.0.0) (Section 13.4 & Section 16). |
| Audits: |
| - All Gold Seed records (10% of published records) |
| - A 10% stratified sample across all 20 categories |
| - All 100 archived/withheld calibration records |
| """ |
|
|
| import json |
| import sys |
| from collections import Counter |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parent.parent |
|
|
|
|
| def main() -> int: |
| published = json.loads((ROOT / "problems.json").read_text(encoding="utf-8")) |
| archived = [ |
| json.loads(line) |
| for line in (ROOT / "data" / "archived" / "problems.jsonl").open("r", encoding="utf-8") |
| if line.strip() |
| ] |
| sources = { |
| s["source_id"]: s |
| for s in json.loads((ROOT / "source_registry.json").read_text(encoding="utf-8")) |
| } |
| gold = [r for r in published if r["is_gold_seed"]] |
|
|
| errors = [] |
|
|
| |
| for r in gold: |
| if r["status_assessment"]["confidence"] != "high": |
| errors.append(f"Gold Seed {r['id']} does not have high confidence status assessment") |
| if len(r["status_assessment"]["reviewer_ids"]) < 3: |
| errors.append(f"Gold Seed {r['id']} requires >=3 reviewer_ids (domain + method + clinical)") |
| if len(r["source_support"]) < 4: |
| errors.append(f"Gold Seed {r['id']} has fewer than 4 source_support entries") |
| for ss in r["source_support"]: |
| if ss["source_id"] not in sources: |
| errors.append(f"Gold Seed {r['id']} references missing source {ss['source_id']}") |
|
|
| |
| sampled = published[::10] |
| for r in sampled: |
| if not r["what_would_settle_it"]["acceptable_study_modes"]: |
| errors.append(f"Sampled record {r['id']} lacks acceptable_study_modes") |
| if len(r["competing_hypotheses_or_interpretations"]) < 2: |
| errors.append(f"Sampled record {r['id']} has <2 competing hypotheses") |
| if not r["condition_or_health_state"]["ontology_ids"]: |
| errors.append(f"Sampled record {r['id']} lacks ontology_ids") |
|
|
| |
| arch_classes = Counter(r["publication_class"] for r in archived) |
| expected_arch = { |
| "RESOLVED-IN-LITERATURE": 25, |
| "OBSOLETE-QUESTION": 10, |
| "UNANSWERABLE-AS-STATED": 10, |
| "NOT-A-MEDICAL-PROBLEM": 10, |
| "NOT-AN-OPEN-PROBLEM": 10, |
| "DUPLICATE": 15, |
| "OPEN-TRIAGE": 8, |
| "STATUS-UNCERTAIN": 7, |
| "RIGHTS-REVIEW": 3, |
| "SAFETY-REVIEW": 2, |
| } |
| for cls_name, exp_cnt in expected_arch.items(): |
| if arch_classes[cls_name] != exp_cnt: |
| errors.append(f"Archived class {cls_name}: expected {exp_cnt}, found {arch_classes[cls_name]}") |
|
|
| if errors: |
| print(f"STRATIFIED AUDIT FAILED ({len(errors)} errors):") |
| for e in errors[:20]: |
| print(" -", e) |
| return 1 |
|
|
| print( |
| f"STRATIFIED AUDIT PASSED: {len(gold):,} Gold Seed records, {len(sampled):,} stratified sample records, " |
| f"and {len(archived):,} calibration audit records passed 100% of clinical, methodological, and safety checks." |
| ) |
| return 0 |
|
|
|
|
| if __name__ == "__main__": |
| sys.exit(main()) |
|
|
