Can ChatGPT identify predatory biomedical and dental journals? A cross-sectional content analysis

•There is an ongoing challenge in identifying predatory journals.•ChatGPT correctly identified 92.5% of predatory and 71% of legitimate journals, respectively, demonstrating high accuracy and sensitivity.•Large-scale language models may have use in the identification of predatory publications. To as...

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Veröffentlicht in:	Journal of dentistry 2024-03, Vol.142, p.104840-104840, Article 104840
Hauptverfasser:	Al-Moghrabi, Dalya, Abu Arqub, Sarah, Maroulakos, Michael P, Pandis, Nikolaos, Fleming, Padhraig S
Format:	Artikel
Sprache:	eng
Schlagworte:	Editorial policies Ethics in publication Medical ethics Open access publishing Scientific publishing Transparency
Online-Zugang:	Volltext
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