classifier would have guessed for the unlabeled data point and now what are you going to do is you're gonna take this and use it as part of your label Diaz for every label data updated new SEM is worth learning so it's that simple only thing is you you're making sure that your guess for unlabeled data comes from averaging or multiple augmentations and sharpening the distribution so there it's confident enough so it's called mix-match because it uses to mix up trick firstly for if you're not familiar with mix up the idea is you