Miscalibration doesn't necessarily change phenotype assignments. Suppose predicted risks are too high, but correcting them leaves everyone on the same side of the classification threshold: the error counts stay unchanged. Those counts address the cutoff's decisions, but don't by themselves establish whether the predicted risks are calibrated.
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