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Review datasets, baselines, metrics, fairness, and leakage risks.
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Based on SOC occupation classification
Validate abstract completeness, length, and alignment.
Enforce evidence-grounded outputs with explicit uncertainty.
Screen for excessive self-citation and suspicious citation patterns.
Run contradiction and alignment checks across all sections.
Check interpretation quality, limitations, and overclaiming.
Create stable anchors for sections, paragraphs, figures, tables, equations, and references.
| name | experimental-rigor-review |
| description | Review datasets, baselines, metrics, fairness, and leakage risks. |
Review datasets, baselines, metrics, fairness, and leakage risks.
Use explicit evidence, confidence, and conservative wording.
