LLMs used for meta-analysis data extraction show high precision but low recall, with domain-specific prompts providing the largest recall gains and supporting a three-tier human-oversight framework.
Validity of data extraction in evidence synthesis practice of adverse events: repro- ducibility study
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What Level of Automation is "Good Enough"? A Benchmark of Large Language Models for Meta-Analysis Data Extraction
LLMs used for meta-analysis data extraction show high precision but low recall, with domain-specific prompts providing the largest recall gains and supporting a three-tier human-oversight framework.