than threshold and only if it is you're gonna have the model trained on those data points or else you're just not gonna back up those gradients and this threshold has the you can play around with different schedules you could it could be really confident the beginning at the end you want to make sure that the thresholds are actually high enough so that model is not training and in the beginning you don't want to have high enough threshold it so because your mom could be erroneous so they play around with linear or exponential and log and