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...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
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| Series: | Research Integrity and Peer Review |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41073-025-00168-w |
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