research-grade
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- MIT
- 最近更新
- 2026-06-13
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01 前言 Front Matter
- id
- research-grade
- title
- GRADE Evidence Assessment
03 SKILL.md 正文
GRADE Evidence Assessment
Rate evidence quality using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) methodology.
GRADE Levels
Grade A — High Quality
- Consistent findings from multiple high-quality sources
- Large effect sizes (d > 0.8) with narrow CIs
- Direct applicability to research question
- No major methodological limitations
- Further research unlikely to change confidence
Grade B — Moderate Quality
- Consistent findings from adequate sources
- Meaningful effect sizes (d 0.5-0.8) with reasonable CIs
- Mostly applicable to research question
- Minor methodological limitations
- Further research may change the estimate
Grade C — Low Quality
- Inconsistent findings or limited sources
- Small or uncertain effect sizes (d 0.2-0.5) or wide CIs
- Indirect applicability
- Notable methodological limitations
- Further research likely to change the estimate
Grade D — Very Low Quality
- Single source or expert opinion only
- Negligible effect (d < 0.2) or no quantifiable effect
- Largely indirect or speculative
- Major methodological concerns
- Any estimate is very uncertain
Upgrade Factors (+1 level)
- Large effect magnitude (d > 0.8 with narrow CI)
- Dose-response gradient
- All plausible confounders would reduce the observed effect
Downgrade Factors (-1 level)
- Risk of bias in study design
- Inconsistency across sources (I^2 > 50%)
- Indirectness of evidence
- Imprecision (CI crosses null/zero)
- Publication bias suspected
Quality Criteria
- Every claim has a grade with rationale
- Upgrade/downgrade factors are explicitly documented
- Bayesian posteriors are updated based on evidence grades
- Grade distribution is reported
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