Actually our AUC is 90% and that beats the state of the art in the literature.  Accuracy is easy to game.  We could get 97.5% accuracy by just predicting False all of the time.  We don&#x27;t advise reviewers to use the prediction directly, but rather to set thresholds on the probability.  70% probability is a very conservative filter and will catch about 10% and a little bit less than half of them will actually be damaging.<p>So, this is useful enough to reduce the workload by 90% right now.  As we increase the model&#x27;s fitness, we should be able to drive that up to 95%, but I doubt we&#x27;ll get much better than that.