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System RCT Classifier

Description

This is a BERT-based model intended for identifying Randomized-Controlled Trials based on title and abstract. It is fine-tuned based on https://huggingface.co/microsoft/BiomedNLP-BiomedBERT-base-uncased-abstract, with an additional binary classifier layer.

Model Performance

F1 Score

In out-of-sample testing, the model exhibits an F1 score of 0.93 on a sample of 500 abstracts from PubMed.

Confusion Matrix

Use

This model is made available under the Open RAIL-M license.

For more information on System, visit https://about.system.com
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