{
  "scoring_stage": "independent_before_pairwise",
  "frozen_at_utc": "2026-10-25T14:40:05.238744+00:00",
  "rubric_sha256": "dccb6015970577c821a01750fa2353c75893b74be95a5d3f3a4fcea8835294cc",
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    "practical_usefulness": 20,
    "writing_quality": 15,
    "coherence_and_links": 10,
    "intent_and_metadata": 5,
    "completeness": 5
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  "aggregation": "For article dimensions: arithmetic sum/11, each draft equally weighted. Cluster dimensions scored once. Sum(score/5×frozen weight); no rounding before final display.",
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              "human-judging",
              "repeatability",
              "fair-comparison",
              "latency-cost",
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              "evaluation-maintenance"
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            "detail_file": "results/article-scores.json"
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        "cluster_strategy": {
          "score_0_to_5": 4,
          "weight": 20,
          "level": "cluster",
          "weighted_points": 16.0,
          "evidence": {
            "rationale": "All ten required topic areas covered; task construction versus integrity and metrics versus judging have distinct jobs. Pillar/public/data guides repeat broad cautions, and the progression would benefit from a smaller first-run route.",
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              "A/articles/choosing-model-benchmark.md",
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              "A/articles/public-benchmark-literacy.md",
              "A/publication-sequence.md"
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        },
        "practical_usefulness": {
          "score_0_to_5": 3.909090909090909,
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            "article_score_sum": 43,
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              "evaluation-maintenance"
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            "detail_file": "results/article-scores.json"
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        "writing_quality": {
          "score_0_to_5": 4.0,
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          "weighted_points": 12.0,
          "evidence": {
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            "article_ids": [
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              "evaluation-metrics",
              "human-judging",
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              "evaluation-maintenance"
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            "detail_file": "results/article-scores.json"
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        },
        "coherence_and_links": {
          "score_0_to_5": 4,
          "weight": 10,
          "level": "cluster",
          "weighted_points": 8.0,
          "evidence": {
            "rationale": "Consistent hard gates, holdout protection and model/system distinction across the full set. All 52 links resolve and map matches; repeated long footers and two repeated source–destination links weaken prioritisation slightly.",
            "files": [
              "A/internal-link-map.json",
              "A/articles/agent-system-evaluation.md",
              "A/articles/human-evaluation-model-judges.md",
              "results/inventory.json"
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        "intent_and_metadata": {
          "score_0_to_5": 4.0,
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          "evidence": {
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              "human-judging",
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              "agent-evaluation",
              "evaluation-maintenance"
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            "detail_file": "results/article-scores.json"
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        },
        "completeness": {
          "score_0_to_5": 5,
          "weight": 5,
          "level": "cluster",
          "weighted_points": 5.0,
          "evidence": {
            "rationale": "Eleven full drafts, eleven briefs and all seven required supporting files delivered; all lengths within range under common convention. Declared count differences are explained by conventions; no delivery omission found.",
            "files": [
              "A/editorial-handoff.md",
              "A/completion.json",
              "results/inventory.json"
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      "total_out_of_100": 80.63636363636364,
      "publication_blockers": []
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    {
      "cluster": "B",
      "dimensions": {
        "accuracy_and_sources": {
          "score_0_to_5": 5.0,
          "weight": 25,
          "level": "article",
          "weighted_points": 25.0,
          "evidence": {
            "article_score_sum": 55,
            "denominator": 11,
            "article_ids": [
              "P01",
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              "S02",
              "S03",
              "S04",
              "S05",
              "S06",
              "S07",
              "S08",
              "S09",
              "S10"
            ],
            "detail_file": "results/article-scores.json"
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        },
        "cluster_strategy": {
          "score_0_to_5": 5,
          "weight": 20,
          "level": "cluster",
          "weighted_points": 20.0,
          "evidence": {
            "rationale": "Complete coverage with concrete distinct procedures: RETURN-014 task design, data custody, confusion-matrix scoring, grader validation, paired intervals, usage economics, recovery and maintenance. One hypothetical support workflow gives useful progression without replacing support-specific contributions.",
            "files": [
              "B/articles/design-llm-evaluation-tasks.md",
              "B/articles/llm-evaluation-metrics-rubrics.md",
              "B/articles/evaluate-ai-agents-tools-outcomes.md",
              "B/publication-sequence.md"
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        },
        "practical_usefulness": {
          "score_0_to_5": 4.363636363636363,
          "weight": 20,
          "level": "article",
          "weighted_points": 17.454545454545453,
          "evidence": {
            "article_score_sum": 48,
            "denominator": 11,
            "article_ids": [
              "P01",
              "S01",
              "S02",
              "S03",
              "S04",
              "S05",
              "S06",
              "S07",
              "S08",
              "S09",
              "S10"
            ],
            "detail_file": "results/article-scores.json"
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        },
        "writing_quality": {
          "score_0_to_5": 4.0,
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          "level": "article",
          "weighted_points": 12.0,
          "evidence": {
            "article_score_sum": 44,
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            "article_ids": [
              "P01",
              "S01",
              "S02",
              "S03",
              "S04",
              "S05",
              "S06",
              "S07",
              "S08",
              "S09",
              "S10"
            ],
            "detail_file": "results/article-scores.json"
          }
        },
        "coherence_and_links": {
          "score_0_to_5": 5,
          "weight": 10,
          "level": "cluster",
          "weighted_points": 10.0,
          "evidence": {
            "rationale": "Case/repeat, acceptance/gates, model/system and calibration/validation distinctions remain consistent. All 59 contextual links and map entries agree; pillar reaches all supports and all supports return. Different numerical scenarios are expressly separate.",
            "files": [
              "B/internal-link-map.json",
              "B/articles/benchmark-uncertainty-repeatability.md",
              "B/articles/ai-latency-cost-per-successful-task.md",
              "B/editorial-strategy.md",
              "results/inventory.json"
            ]
          }
        },
        "intent_and_metadata": {
          "score_0_to_5": 4.818181818181818,
          "weight": 5,
          "level": "article",
          "weighted_points": 4.818181818181818,
          "evidence": {
            "article_score_sum": 53,
            "denominator": 11,
            "article_ids": [
              "P01",
              "S01",
              "S02",
              "S03",
              "S04",
              "S05",
              "S06",
              "S07",
              "S08",
              "S09",
              "S10"
            ],
            "detail_file": "results/article-scores.json"
          }
        },
        "completeness": {
          "score_0_to_5": 5,
          "weight": 5,
          "level": "cluster",
          "weighted_points": 5.0,
          "evidence": {
            "rationale": "All drafts, briefs and supporting deliverables present; metadata agrees, counts reproducible under common convention and preservation hashes supplied. No missing delivery or placeholder found.",
            "files": [
              "B/editorial-handoff.md",
              "B/editorial-checks.json",
              "B/preservation-manifest.json",
              "B/completion.json",
              "results/inventory.json"
            ]
          }
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      "total_out_of_100": 94.27272727272727,
      "publication_blockers": []
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    {
      "cluster": "C",
      "dimensions": {
        "accuracy_and_sources": {
          "score_0_to_5": 3.3636363636363638,
          "weight": 25,
          "level": "article",
          "weighted_points": 16.818181818181817,
          "evidence": {
            "article_score_sum": 37,
            "denominator": 11,
            "article_ids": [
              "ai-eval-00",
              "ai-eval-01",
              "ai-eval-02",
              "ai-eval-03",
              "ai-eval-04",
              "ai-eval-05",
              "ai-eval-06",
              "ai-eval-07",
              "ai-eval-08",
              "ai-eval-09",
              "ai-eval-10"
            ],
            "detail_file": "results/article-scores.json"
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        },
        "cluster_strategy": {
          "score_0_to_5": 4,
          "weight": 20,
          "level": "cluster",
          "weighted_points": 16.0,
          "evidence": {
            "rationale": "Required topics all covered, with reusable schema, rubric, manifest and memo. Historical benchmark surveys repeat across pillar/public/agent pieces, and small-evaluation advice alternates between bounded pilot and categorical minimums.",
            "files": [
              "C/articles/evaluating-ai-models-and-agent-systems.md",
              "C/articles/public-benchmarks-vs-workload-evaluation.md",
              "C/articles/evaluating-agents-and-tool-use.md",
              "C/publication-sequence.md"
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        },
        "practical_usefulness": {
          "score_0_to_5": 3.6363636363636362,
          "weight": 20,
          "level": "article",
          "weighted_points": 14.545454545454547,
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            "article_ids": [
              "ai-eval-00",
              "ai-eval-01",
              "ai-eval-02",
              "ai-eval-03",
              "ai-eval-04",
              "ai-eval-05",
              "ai-eval-06",
              "ai-eval-07",
              "ai-eval-08",
              "ai-eval-09",
              "ai-eval-10"
            ],
            "detail_file": "results/article-scores.json"
          }
        },
        "writing_quality": {
          "score_0_to_5": 3.8181818181818183,
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          "level": "article",
          "weighted_points": 11.454545454545455,
          "evidence": {
            "article_score_sum": 42,
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            "article_ids": [
              "ai-eval-00",
              "ai-eval-01",
              "ai-eval-02",
              "ai-eval-03",
              "ai-eval-04",
              "ai-eval-05",
              "ai-eval-06",
              "ai-eval-07",
              "ai-eval-08",
              "ai-eval-09",
              "ai-eval-10"
            ],
            "detail_file": "results/article-scores.json"
          }
        },
        "coherence_and_links": {
          "score_0_to_5": 3,
          "weight": 10,
          "level": "cluster",
          "weighted_points": 6.0,
          "evidence": {
            "rationale": "All 55 article links resolve and map agrees, with a useful staged-release rule. Guidance conflicts across sealed holdout one-use/two-decision retirement and 100-task starting point versus decision-grade 1,000-task shorthand. Cost category definitions also need reconciliation.",
            "files": [
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              "C/articles/repeatability-variance-and-uncertainty.md",
              "C/articles/latency-token-usage-and-cost.md",
              "C/internal-link-map.json"
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          }
        },
        "intent_and_metadata": {
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          "weight": 5,
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          "weighted_points": 4.0,
          "evidence": {
            "article_score_sum": 44,
            "denominator": 11,
            "article_ids": [
              "ai-eval-00",
              "ai-eval-01",
              "ai-eval-02",
              "ai-eval-03",
              "ai-eval-04",
              "ai-eval-05",
              "ai-eval-06",
              "ai-eval-07",
              "ai-eval-08",
              "ai-eval-09",
              "ai-eval-10"
            ],
            "detail_file": "results/article-scores.json"
          }
        },
        "completeness": {
          "score_0_to_5": 5,
          "weight": 5,
          "level": "cluster",
          "weighted_points": 5.0,
          "evidence": {
            "rationale": "Eleven full drafts, eleven briefs and required supporting handoff present; common-convention counts all in range. slug/file/related_ids are clear semantic aliases for brief fields. Factual defects are scored in accuracy and listed as holds, not treated as missing drafts or dishonest counting.",
            "files": [
              "C/editorial-handoff.md",
              "C/completion.json",
              "results/inventory.json"
            ]
          }
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      "total_out_of_100": 73.81818181818181,
      "publication_blockers": [
        {
          "claim_id": "C-ai-eval-08-03",
          "cluster": "C",
          "article_id": "ai-eval-08",
          "article_file": "C/articles/latency-token-usage-and-cost.md",
          "location": {
            "line": 44,
            "excerpt": "Output tokens:"
          },
          "claim_type": "editorial_guidance",
          "sources": [
            {
              "source_id": "reason",
              "title": "Reasoning models",
              "url": "https://developers.openai.com/api/docs/guides/reasoning",
              "inspected_location": "Reasoning effort; How reasoning works; Allocating space for reasoning"
            }
          ],
          "retrieval_date_utc": "2026-10-25",
          "submission_research_date": "2026-10-25",
          "exact_support_or_contradiction": "Article defines output as visible text, then uses output alone in billing formula. Billed output includes reasoning, so following the visible-only definition undercounts.",
          "verdict": "incorrect_guidance",
          "severity": "publication_blocker",
          "repair": "Define billed output including reasoning/formatting, or sum disjoint categories once.",
          "publication_blocker": true
        }
      ]
    }
  ],
  "rounding": "Display to two decimals only; full-precision totals retained.",
  "limitations": "One submission/run per candidate and one judge. Article scores are correlated within clusters; no confidence interval or statistical significance inferred from eleven drafts. All independent score decisions completed before pairwise comparison file creation."
}