Predicting retracted research: a dataset and machine learning approaches

Predicting retracted research: a dataset and machine learning approaches

Abstract Background Retractions undermine the scientific record’s reliability and can lead to the continued propagation of flawed research. This study aimed to (1) create a dataset aggregating retraction information with bibliographic metadata, (2) train and evaluate various machine learning approac...

Full description

Saved in:
Bibliographic Details
Main Authors: Aaron H. A. Fletcher, Mark Stevenson
Format: Article
Language:English
Published: BMC 2025-06-01
Series:Research Integrity and Peer Review
Subjects:
Retraction prediction
Machine learning
Scientific publishing
Online Access:https://doi.org/10.1186/s41073-025-00168-w
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items