Development and Accuracy Evaluation of an LLM-Assisted Workflow for Screening and Data Extraction in Large-Scale Syntheses
Large-scale research syntheses are labor-intensive and prone to human error, and large language models (LLMs) could support their screening and data extraction. Building on current recommendations, we developed an integrated workflow for title and abstract screening (Step 1), full-text screening (Step 2), and data extr...
Vsevolod Scherrer, Franzis Preckel, Moritz Breit
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