The centering test compares the absent class's mean intensity against half the present class's. With
a present mean at or below zero - which happens on a merge dominated by noise - the bound is
non-positive, and the comparison stops measuring whether the absences are weak and starts turning on
the sign of the absent mean. Seen in an uncut merge: absent -0.16 against present -0.03, where a more
negative absent class passes and one nearer zero fails, both by accident.
Require a positive present mean before the mean-ratio branch can confirm a centering. The rate branch
below it counts violations rather than averaging intensities, so it cannot change sign, and it already
exists for exactly the weak-data case this leaves to it.
No crystal in the battery changes, at matched limits or with the automatic cutoff.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
leonarski_fandClaude Opus 5
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