this portion on the right hand side where they say and this is all with regards to the labeled samples so n or what's this constant in Ada Adah yeah so so a dub G is is a threshold that varies with your training progress so we'll see that in the next slide but basically it's a threshold and and if the if the models prediction probability on the on the correct class for a labeled sample is above that threshold then then that this will evaluate to zero and therefore that sample signal will not get propagated through to the loss function at that