The 'Problematic Paper Screener' automatically selects suspect publications for post-publication (re)assessment

Guillaume Cabanac, Cyril Labbé, Alexander Magazinov

Post publication assessment remains necessary to check erroneous or fraudulent scientific publications. We present an online platform, the 'Problematic Paper Screener' (https://www.irit.fr/~Guillaume.Cabanac/problematic-paper-screener) that leverages both automatic machine detection and human assessment to identify and flag already published problematic articles. We provide a new effective tool to curate the scientific literature.

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