Automated Literature Screening for Systematic Reviews: A 5-Tier Prompting Approach Meeting Cochrane's Sensitivity Requirement of Greater Than 0.99
This Zenodo entry contains the supplementary material associated with the manuscript titled Automated Literature Screening for Systematic Reviews: A 5-Tier Prompting Approach Meeting Cochrane’s Sensitivity Requirement of Greater Than 0.99. The manuscript is prepared for submission to LLMsMI 2024. A script is provided for replicating the executed experiments, along with a comprehensive evaluation file that reports all the experiment results. Provided data files represent an extension to the original datasets as provided by [1]. For associated systematic review manuscripts and eligibility criteria, please refer to [1] as well. [1] Guo, Eddie; Gupta, Mehul; Deng, Jiawen; Park, Ye-Jean; Paget, Mike; Naugler, Christopher (2023). "Automated Paper Screening for Clinical Reviews Using Large Language Models." Mendeley Data, V1, doi: 10.17632/np79tmhkh5.1. Accessed from: https://data.mendeley.com/datasets/np79tmhkh5/1.
Institutions
- Graz University of Technology (AT)
- European Organization for Nuclear Research (CH)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-08-30
- DOI
- https://doi.org/10.5281/zenodo.13493970
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00