Operational frameworks successfully define probabilities P(outcome|settings,initial-state) with perfectly well-defined domains, showing the separation problem is solvable rather than fundamental.

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Operational frameworks(as used in physics and philosophy of science): A practical system or set of rules for how to measure and test something in the real world, rather than just thinking about it theoretically.
P(outcome|settings,initial-state)(as used in mathematics and physics): Mathematical notation meaning 'the probability of a particular result, given specific experimental conditions and starting point'—the vertical line means 'given that.'
Probabilities(as used in discussing whether actions have fixed chances of occurring): Numerical chances or likelihoods that something will happen (like a 50% chance of rain).
The separation problem(as used in quantum mechanics philosophy): A debate in quantum physics about whether we can cleanly separate what's happening in the experiment from how the experimenter measures it, or if they're always tangled together.

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