Imagine you are the editor of two journals, one with higher impact than the other. You receive two modeling papers, one with more predictions than validations and vice-versa. You can only accept one to each journal. Where would you send each?
What I’m asking is: How do you gauge the importance of a data-driven* model? By the number of predictions (including the proposal of novel experiments) that it makes or by the number of existing experiments that it agrees with? If both, then how would you weight each different types of contributions?
* I specify data-driven models to separate them from theory-driven models.