Can you explain what the various reasons for not using a probability baseline (i.e., only if the model is pretty confident assign a label, otherwise say nothing

Can you explain what the various reasons for not using a probability baseline (i.e., only if the model is pretty confident assign a label, otherwise say nothing) are? It's what we're being taught right now in ML classes, so I would like to fix my understanding.