look at is confidence of classifiers versus minimal entropy on unlabeled data it's it's it's a very nice coupling that the disciplines will shows and it's being used to very good effect in recent recent work and mathematically there have been papers on these two ideas which is first ideas entry minimization which we look at just the idea of taking on label data and making sure that the classifier training or label here has minimal entropy on unlabeled data so that way you're making sure that the classifier is confident even on