interesting problem to solve for sure okay so fluorine and I or fluorine and the the author so TJ had had one discussion point that he wanted to to pose to the audience which was so to some extent this type of approach the ability to use more on labelled data can can help to make machine learning more University accessible because it's much more affordable to train models on unlabeled data and so what applications do you guys think stand to benefit the most from from semi-supervised learning that that haven't already been tried in