Instead, we found that the predict models are so good that, while the triumphalist overtones still sound excessive, there are very good reasons to switch to the new architecture.
due to space limitations we have only focused here on quantitative measures: It remains to be seen whether the two types of models are complementary in the errors they make, in which case combined models could be an interesting avenue for further work.