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Table 3.

Accuracy of SciBERT classifier, currently deployed on the scite platform, evaluated on a holdout set of 9,708 examples.

 PrecisionRecallF-score
Contrasting .852 .451 .590 
Supporting .741 .576 .648 
Mentioning .962 .984 .973 
 PrecisionRecallF-score
Contrasting .852 .451 .590 
Supporting .741 .576 .648 
Mentioning .962 .984 .973 

Note: When deploying classification models in production, we balance the precision/recall so that all the classes have a precision higher than 80%.

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