The medium-confidence predictions are great for grounding or sourcing intuition. If you're trying to divide up a protein for an experiment and you have to choose where to divy it up - you'd like to use even a bad prediction to help weight an otherwise completely random approach. AND there are great methods to help with this, but they're often custom, time-consuming, and out-of-field for most. So being able to very quickly spot-check using a uniform state-of-the art, for any arbitrary protein, makes it actually pretty useful for certain kinds of pre-experimental guidance.