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Validate uncertainty before accepting adaptive constraint scores - #145
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Confidence constraints previously treated an unknown standard error as zero, allowing a single observation to satisfy a nominal confidence bound. Require finite means and finite non-negative uncertainty, validate all adaptive constraint scores before storage changes, and mark unverifiable persisted constraints infeasible.
Closes #141.
Validation:
just ci; regression coverage for insufficient/non-finite replicates, missing non-objective constraint scores, both inequality directions, invalid table standard errors, zero-variance replicated observations, and correcting a rejected tell.