the classification criterion doesn't factor in the uncertainty - does this mean ignore the uncertainty for classification?

i.e. `log_std` is an unused parameter in the classification `criterion`:
https://github.com/anthony-wang/CrabNet/blob/a5be06f75b3e524a4485fe00139c5c06aea9cfe5/utils/utils.py#L263-L265

If this is the case, should the uncertainty output from CrabNet be ignored by the user during classification? In other words, are the uncertainty values essentially just a bunch of random numbers for classification?