Investigators sought to train and validate a machine learning model to distinguish paper mill publications from genuine articles and assess the prevalence of paper mill publications.
A large-scale analysis of millions of cancer studies has uncovered patterns suggesting that a significant portion of the literature may not be as reliable as it appears.
A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called ...
Machine learning reveals widespread integrity concerns in cancer studies, highlighting paper mill risks and why publishers must strengthen research oversight.
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