Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study Objectives To train and validate a machine learning model to distinguish paper mill publications from genuine cancer research articles, and to screen the cancer research literature to assess the preva...

2,6 millions d'articles de cancérologie screenés...
260 000 frauduleux...
10% des papiers de recherche en cancérologie de ces dernières années sont frauduleux...
Petite pensée à notre PhD grocervo qui l'avait pondu un thread pour dire que tout cela était marginal...
www.bmj.com/content/392/...

Les fausses publications scientifiques menacent de submerger la recherche contre le cancer Une étude récente pointe un chiffre alarmant : plus de 250 000 articles scientifiques liés au cancer pourraient avoir été fabriqués de toutes pièces entre 1999 et 2024.

Les fausses publications scientifiques menacent de submerger la recherche contre le cancer

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study Objectives To train and validate a machine learning model to distinguish paper mill publications from genuine cancer research articles, and to screen the cancer research literature to assess the preva...

Machine learning-based screening for publications from (often AI-boosted) paper mills feels dystopian already. But even more dystopian is the pick-up rate in cancer literature- nearly 1 in 10 papers (9.87%). Over 260,000 individual papers in all. 😱
#MedSky
www.bmj.com/content/392/...

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study Objectives To train and validate a machine learning model to distinguish paper mill publications from genuine cancer research articles, and to screen the cancer research literature to assess the preva...

I am thrilled to announce that my first-ever paper has been published in @bmj.com. It is available here: www.bmj.com/content/392/...

I thank my colleagues @aidybarnett.bsky.social, @jabyrnesci.bsky.social and David Causeur for this opportunity and their support.

Thank you so much Jennifer ☺️

Thanks so much to @baptscc.bsky.social, recently arrived here, for his brilliant work as first author on this paper (also his first publication). Follow him, he's going places!

New tool exposes scale of fake research flooding cancer science A new machine learning tool has identified more than 250,000 cancer research papers that may have been produced by so-called “paper mills”.

“If fabricated studies make their way into the evidence base, they can mislead real scientists and ultimately slow progress for patients."

Published in The BMJ, a new AI tool developed by @aidybarnett.bsky.social and colleagues has exposed the scale of fake studies flooding cancer research.

Machine learning based screening of potential paper mill publications in cancer research: methodological and cross sectional study Objectives To train and validate a machine learning model to distinguish paper mill publications from genuine cancer research articles, and to screen the cancer research literature to assess the preva...

Congrats to @aidybarnett.bsky.social, Baptiste and team on this important #metaresearch paper. I got to see the early analysis stages of this work and have been waiting with baited breath for it to be published:
www.bmj.com/content/392/...