How does C5 handle different types of effect sizes?

C5 uses a strict priority hierarchy, preferring post-test between-group data and ANCOVA-adjusted scores while automatically rejecting pre-test outcomes.

What are the four gates in the validation pipeline?

The gates include Extraction Validation (completeness), Classification Validation (ES type), Statistical Validation (calculation accuracy), and Independence Validation (temporal and study independence).

What is the primary function of the C5 skill?

C5 serves as a workflow orchestrator for meta-analysis, managing the validation gates and coordinating other tools for data extraction and error prevention.

Does this skill require specific prerequisites?

Yes, it utilizes MCP enforcement and requires approval through the diverga_check_prerequisites function to ensure all checkpoints are met before execution.

Can C5 detect errors in research data?

Yes, it flags anomalies such as Hedges' g values exceeding 3.0 for human review and automatically excludes extreme outliers greater than 5.0.

Meta-Analysis Master (C5)

Name: Meta-Analysis Master (C5)
Author: HosungYou

byHosungYou

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数据科学与机器学习

Orchestrates comprehensive meta-analysis workflows with multi-gate validation to ensure data integrity and statistical accuracy.

Meta-Analysis Master (C5) is a specialized orchestration skill designed to manage the entire lifecycle of systematic reviews and data synthesis. It acts as a central authority, coordinating data extraction, effect size calculation (including Hedges' g), and statistical validation through a rigorous four-gate process. By enforcing strict data integrity rules and a hierarchical effect size selection model, C5 helps researchers automate complex analytical pipelines while avoiding common pitfalls such as pre-test bias, duplicate counting, and calculation anomalies.