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universal-ma-codebook

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Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification. Integrates with C5/C6/C7 agents and Category I systematic review pipeline. Triggers: meta-analysis, codebook, data extraction, Hedges g, effect size

When to use

AI extraction from PDFs (RAG/OCR) with confidence tracking
Human verification of AI-extracted values
100% human-verified data through structured workflow
Integration with Diverga C5/C6/C7 agents and Category I pipeline
**Context-specific extensions** for domain-specific moderator variables

Skill page

Source

Repository	Path
brycewang-stanford/Auto-Empirical-Research-Skills	`skills/25-HosungYou-Diverga/skills/universal-ma-codebook/SKILL.md`