Sparse identification proper workflow!

Hi,

I have a general question about the proper workflow to use when recovering unknown dynamics.

My understanding is that if we want to recover Michelis Menten dynamics we would use the implicit sparse identification! But what if we don't know if the missing dynamics would follow Michelis Menten or not? What would be the workflow then? Do we start with explicit sindy then switch? What if the explicit result was close enough to the observed data? What sort of diagnostic metrics would we use to make the decision to switch to implicit sindy? Is implicit sindy a global algorithm that we can just always start with for any problem or do we use both explicit and implicit approaches on any problem and compare?

Thanks.

No files, tests, or entry points are mentioned. Start by reviewing the existing documentation for explicit and implicit sparse identification, then confirm the intended workflow and diagnostic criteria with maintainers; done would be a clear, documented answer to the questions raised.