{
  "artifacts_reviewed": [
    "analysis.json",
    "article.md",
    "provenance.json",
    "research-memo.json (locked)",
    "artifact_inventory",
    "mechanical_checks",
    "specialist_reviews (researcher, statistician, adversarial_reviewer, citation_checker)",
    "figures/forecast-error.png",
    "figures/regression-quintiles.png"
  ],
  "created_at": "2026-08-31T01:29:51.708196+00:00",
  "decision": "pass",
  "findings": [
    {
      "check": "Mechanical gates and blocking findings",
      "evidence": "All seven mechanical_checks pass (citations/attribution, attrition reconciliation, provenance completeness, limitations disclosure, minimum sample, temporal validation, uncertainty reporting); blocking_finding_count is 0; all four specialist reviews returned pass, and none required a concrete change before publication.",
      "recommendation": "None required.",
      "severity": "note"
    },
    {
      "check": "Article-to-analysis number consistency and internal reconciliation",
      "evidence": "Every cited statistic reproduces from analysis.json: 649 pairs, MAE 2.65 vs 2.34 (11.7% reduction), paired delta 0.31 with 95% bootstrap CI 0.18-0.45 from 5,000 resamples, quintile extremes 8.3 -> 5.3 (decline 3.0, matching the email subject) and 2.9 -> 4.4, seasons 2014-2025, five registered features. Attrition reconciles exactly (649 + 301 + 128 = 1,078; retention 649/950 = 0.6832; quintile n's sum to 649). Both embedded figures resolve to SHA-256-inventoried artifacts.",
      "recommendation": "None required.",
      "severity": "note"
    },
    {
      "check": "Headline and claim scope",
      "evidence": "The headline restates the maxim the study actually tests, and the body bounds it: the opening converts the maxim into a falsifiable predictive question, the quintile section states it is not 'high touchdown players are bad', and 'How to use it' bars mechanical fading of elite-volume players and known-magnitude individual adjustments. The residual-vs-next-change correlation (-0.50) is moderate, and the article discloses that both forecasts still miss by more than two touchdowns on average.",
      "recommendation": "None required; retain the benchmark-not-projection framing in any copy edits.",
      "severity": "note"
    },
    {
      "check": "Survivor-bias scope must remain visible (registered risk)",
      "evidence": "Evaluation conditions on returning to at least 40 targets: 649 of 950 completed-next-season pairs (68.3% retention), 301 excluded, 128 pending. The article discloses this and states the net direction of forecast-comparison bias is uncertain; the statistician verified the quintile declines are, if anything, conservative for high scorers because non-returning overperformers fall further. This is a disclosed, bounded limitation consistent with the locked estimand, not a departure from it.",
      "recommendation": "Keep the 'Where this can break' section intact and unedited through publication; do not generalize the 0.31-TD MAE gain or the 3.0-TD quintile decline to non-returners.",
      "severity": "warning"
    },
    {
      "check": "Downstream email and social framing",
      "evidence": "The email subject ('The 3.0 touchdowns a hot season gave back') and the quintile chart are the most shareable elements; the 3.0 figure is a top-quintile mean among returning players only. probability_expected_better = 1.0 is a within-sample bootstrap proportion (5,000 resamples, seed 4444) that the article correctly does not cite and correctly qualifies as not independent replications.",
      "recommendation": "Ensure the email body and any social copy carry the benchmark-not-projection and no-mechanical-fade caveats; do not surface probability_expected_better as a standalone probability of superiority.",
      "severity": "warning"
    },
    {
      "check": "Unused 2025-overperformers artifacts",
      "evidence": "figures/2025-overperformers.png and data/2025-overperformers.csv are inventoried but not referenced in the article, which also disclaims current player-ranking use; no unsupported claim is currently made.",
      "recommendation": "If these artifacts are surfaced later (email, social, or follow-up posts), present them as historical illustration consistent with the article's disclaimer, not as current rankings or individual projections.",
      "severity": "note"
    },
    {
      "check": "Run-manifest completeness at publication",
      "evidence": "The reproducibility section states the run manifest records reviewer findings and the publication decision; published_at is null and those fields finalize at publication. Source URLs, SHA-256s, seed, and model parameters are already verifiable in the bundle (provenance.json, model-parameters.json, analysis.json).",
      "recommendation": "Confirm the manifest is complete (including all reviewer findings and this publication decision) at publication time.",
      "severity": "note"
    },
    {
      "check": "Source recency",
      "evidence": "data_through: 2025 matches the provenance record (legacy player_stats.csv through 2024 plus stats_player_reg_2025.csv); candidate generated 2026-08-31; the article avoids current-player claims and frames the study as testing an evergreen claim.",
      "recommendation": "If publication slips materially beyond 2026, re-confirm the data-through and staleness language still matches the snapshot.",
      "severity": "warning"
    },
    {
      "check": "Optional improvements (not required for publication)",
      "evidence": "Specialist suggestions only: quantify attrition in the article body (68% retention; 301 excluded, 128 pending) and note the quintile chart is computed on the returning sample; optionally add the canonical nflverse attribution line verbatim for strictest CC BY 4.0 practice.",
      "recommendation": "Optional; none blocks publication.",
      "severity": "note"
    }
  ],
  "model": "z-ai/glm-5.3",
  "role": "editor",
  "summary": "All seven mechanical gates pass, blocking_finding_count is zero, and all four specialist reviews (researcher, statistician, adversarial reviewer, citation checker) returned pass with no required changes. Every number in the article reproduces from analysis.json, attrition reconciles exactly (649 + 301 + 128 = 1,078 walk-forward predictions; retention 649/950 = 0.6832; quintile n's sum to 649), and the walk-forward design was verified free of temporal leakage. The headline restates the maxim the study actually tests, and the body bounds it correctly as a modest benchmark improvement rather than a projection system or causal estimate; all four registered risks are disclosed in both the analysis and the article, with uncertainty reported adjacent to the relevant claims. Remaining warnings are conditions to preserve rather than changes: keep the survivor-bias and scope disclosures visible through publication, carry the caveats into email and social copy (the 3.0-TD email figure is a returning-player quintile mean), treat the unused 2025-overperformers artifacts as historical illustration if ever surfaced, confirm run-manifest completeness at publication time, and re-confirm recency language if publication slips materially beyond 2026. No concrete change is required before publication."
}