I’m not sure why Leo is ignoring signatures. It’s possible it’s an issue in the training data that we need to go back and fix, so thanks for the heads up!
I see the logic on [illegible] signs though we decided not to use them as we didn’t want to kneecap the model. Our goal is that Leo will eventually provide not just useable or passable but superhuman transcriptions. What we do plan to add is some kind of confidence metric visible within the web-app, so users can see what’s likely to need correction.