Hugging Face model: eriho/vascretr
Author: eriho
Created: 2026-01-31 01:11:31
Last modified: 2026-02-03 16:42:40
Pipeline: text-classification
Library: transformers
Likes: 1 | Downloads: 12
Tags: transformers, tensorboard, safetensors, bert, text-classification, en, base_model:google-bert/bert-base-uncased, base_model:finetune:google-bert/bert-base-uncased, license:cc-by-sa-4.0, text-embeddings-inference, endpoints_compatible, region:us
Base model relation: finetune
Base models: id: google-bert/bert-base-uncased
Card metadata:
Build by: ML in Health Science
Find more: https://mlhs.ink/
Description: 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.
library_name: transformers
base_model: google-bert/bert-base-uncased
license: cc-by-sa-4.0
language: en