Paste only the abstract into the text box
(no title, no keywords, no methods/results/discussion, no full text).
Choose a threshold (slider). Higher threshold = stricter flagging.
Click Check.
Get result: the score is the probability (%) that the abstract shows patterns
similar to cardiovascular-medicine original research papers retracted within the last ~5 years.
(Model is trained on cardiovascular papers; see “About” for details.)
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About Retract
Retract is a lightweight screening tool that estimates how strongly an abstract resembles
cardiovascular-medicine papers retracted within the last ~5 years.
It is powered by a fine-tuned BERT text-classification model trained on
520 retracted research articles (2021–2026) from the
Retraction Watch Database,
using cardiovascular/vascular/interventional/venous/dialysis/stroke/coronary-related keywords.
The control set consists of top-level publications matched by similar keywords from PubMed.
The model is hosted on Hugging Face.
Model training: AutoTrain (Text Classification). Validation metrics: loss 0.346 · F1 0.862 · precision 0.955 · recall 0.785 · AUC 0.920 · accuracy 0.875
