# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "metaextractoR" in publications use:' type: software license: MIT title: 'metaextractoR: Data Extraction for Meta-Analysis with Large Language Models' version: 0.1.0 abstract: Use Large Language Models (LLMs) to assist with data extraction for meta-analysis. This package incorporates three modular Shiny apps to implement a human-in-the-loop framework. (1) a manual extraction interface for abstracts, (2) refining prompt engineering and model selection, and (3) validation of LLM-generated outputs. These apps enable researchers to iteratively collaborate with LLMs, with each abstract undergoing double data extraction—once manually by a human researcher and once independently by an LLM-assisted process—to emulate the double extraction process recommended by international standards. Notably, the package runs fully on local machines, with no need for API setup or external data transfer, maximising data privacy and accessibility. Robust logging features further enhance transparency and reproducibility by recording all prompt iterations and outputs. authors: - family-names: Dai given-names: Danyang email: danyan.dai01@gmail.com orcid: https://orcid.org/0009-0006-3984-291X - family-names: Tanaka given-names: Emi email: dr.emi.tanaka@gmail.com orcid: https://orcid.org/0000-0002-1455-259X repository: https://emitanaka.r-universe.dev repository-code: https://github.com/DanyangDai/metaextractoR commit: 229c8547ffc83f73d418a860254f066023d9ec0d url: https://danyangdai.github.io/metaextractoR/ date-released: '2026-04-07' contact: - family-names: Dai given-names: Danyang email: danyan.dai01@gmail.com orcid: https://orcid.org/0009-0006-3984-291X