We dealt with a bug that for weeks was silently corrupting the results of trials pitting the performance of various algos against each other. Because a valid response was "no reply/opt out", combined with a bug in processing the "opt out" enum, also combined with a bug in score aggregation, functions were treated like they replied "0.0" instead of "confidence = None".
It really should have defaulted NaN for missing floats.
Wait, are you using Python?
Tangent: I've seen an antipattern of using enums to describe the "type" of some polymorphic object instead of just using a oneof with type-specific fields. Which gets even worse if you later decide something fits multiple types.
I have a hard time thinking of places I really need both 0 and none. The only example that comes to mind is building room numbers, in some room search message where we wanted null to mean wildcard. In those cases, it's not hard to wrap it in a message. Probably the best argument for optionals is when you have a lot of boolean request options where null means default, but even then I prefer instead naming them such that the defaults are all false, since that's clearer anyway.
It did take some getting used to and caused some downstream changes to how we design APIs. I think we're better for it because the whole null vs 0 thing can be tedious and error-prone, but it's very opinionated.