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AI-Powered Meta-Analysis Automation

AI-Powered Meta-Analysis Automation accelerates evidence synthesis in agriculture by automating the repetitive stages of a review while preserving methodological rigor. The workflow covers: search-term generation, LLM-assisted screening, tagging, keyword extraction, classification, and harmonization...

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Main Authors: Muller, Lolita, Joshi, Namita, Steward, Peter Richard, Rosenstock, Todd Stuart
Format: Conjunto de datos
Language:Inglés
Published: 2025
Subjects:
agriculture
agricultura
artificial intelligence
inteligencia artificial
meta-analysis
large language models-llms
metaanálisis
Online Access:https://hdl.handle.net/10568/180145
Summary:AI-Powered Meta-Analysis Automation accelerates evidence synthesis in agriculture by automating the repetitive stages of a review while preserving methodological rigor. The workflow covers: search-term generation, LLM-assisted screening, tagging, keyword extraction, classification, and harmonization. Outputs are systematically compared with expert manual reviews to quantify quality and relevance, clarifying where automation performs well and where caution is warranted.

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