Published February 17, 2026 | Version v1.0.0
Software Open

Multi-Model AI Consensus Pipeline for Automated Data Extraction in Meta-Analysis

Authors/Creators

  • 1. Institute of Soil, Water and Environmental Sciences, Agricultural Research Organization – Volcani Center, Israel

Description

A multi-model AI consensus pipeline for automated quantitative data extraction from scientific research papers for meta-analysis. Uses challenge-aware routing and dual-model extraction (Claude Sonnet 4, Kimi K2.5) with Gemini 3 Flash tiebreaker. Validated against three published meta-analysis datasets with formal TOST equivalence testing.

Notes

If you use this software, please cite it as below.

Files

halpernmoshe/Meta-analysis-extractor-agriculture-v1.0.0.zip

Files (4.1 MB)

Additional details