textcat.teach uncertain sorter show options with score 0

I understanded that uncertain sorter, filter examples around 0.50 (in example from 0.45 to 0.55) score (prefer_uncertain: how does it use the stream to pick examples to score?)
but my textcat.teach is showing predictions with score 0

This is happening with "ema" algoritm

with the "probability" algoritm, shows 2-3 predictions per example, but some with less 0.05 score

Why could this be happening?

Is low effective classify the same text +24 times (I had 24 labels, but should review the same tuple example-label multiple times)