Performance of large language models in data extraction for evidence synthesis: A systematic review
{{output}}
Objective: Data extraction is among the most resource-intensive and error-prone stages of systematic review production. Large language models (LLMs) offer potential for automating or semi-automating this process, yet their perfor... ...
