Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines.
- DOI
- 10.1037/met0000769
- Published
- 2025-07-10
- Container
- Psychol Methods
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1037/met0000769,
title = {Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines.},
author = {Vembye MH and Christensen J and Mølgaard AB and Schytt FLW.},
year = {2025},
journal = {Psychol Methods},
doi = {10.1037/met0000769},
url = {https://doi.org/10.1037/met0000769}
}RIS
TY - JOUR TI - Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines. AU - Vembye MH AU - Christensen J AU - Mølgaard AB AU - Schytt FLW. PY - 2025 JO - Psychol Methods DO - 10.1037/met0000769 UR - https://doi.org/10.1037/met0000769 ER -
APA
MH, V., J, C., AB, M., & FLW., S. (2025). Generative pretrained transformer models can function as highly reliable second screeners of titles and abstracts in systematic reviews: A proof of concept and common guidelines.. Psychol Methods. https://doi.org/10.1037/met0000769
Source records
- europe-pmc · retrieved 2026-09-25T18:01:45.203Z