Seed
Prediction-first work can be useful when it compresses many observations into a manipulable model. It becomes weaker when accuracy is treated as explanation.
Mechanism-first work can be useful when it identifies causal handles. It becomes weaker when it ignores noisy reality and only protects a favored story.
The interesting zone is where a model proposes a perturbation that changes what experiment should be done next.