baptscc.bsky.social
@baptscc.bsky.social
Data scientist | Engineer
Aspiring metascience researcher
Aspiring metascience researcher
Pinned
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...
www.bmj.com
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.
I thank my colleagues @aidybarnett.bsky.social, @jabyrnesci.bsky.social and David Causeur for this opportunity and their support.
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.
I thank my colleagues @aidybarnett.bsky.social, @jabyrnesci.bsky.social and David Causeur for this opportunity and their support.
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...
www.bmj.com
January 30, 2026 at 11:06 AM
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.
I thank my colleagues @aidybarnett.bsky.social, @jabyrnesci.bsky.social and David Causeur for this opportunity and their support.
Reposted by baptscc.bsky.social
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!
How many #CancerResearch papers may have been contributed to the literature by #PaperMills? We try to put numbers to this problem in our @bmj.com paper by @aidybarnett.bsky.social @aushsi.bsky.social & colleagues. Thank-you @nhmrc.bsky.social for funding
@sydney.edu.au
www.bmj.com/content/392/...
@sydney.edu.au
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...
www.bmj.com
January 30, 2026 at 9:18 AM
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!
Reposted by baptscc.bsky.social
“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.
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.
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”.
www.qut.edu.au
January 30, 2026 at 4:43 AM
“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.
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.
Reposted by baptscc.bsky.social
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/...
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...
www.bmj.com
January 30, 2026 at 5:25 AM
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/...
www.bmj.com/content/392/...