+1 on this. A direct way to use textcat.teach with the multiple choice interface where the annotator is correcting a trained model's predictions (instead of simply accepting or rejecting) would be incredibly useful for certain scenarios
EDIT: The solution offered here: Is it possible to use model-in-the-loop with multi text classification using the "choice" view_id? is incomplete but provides a sketch of how one might accomplish this.