mode = "diagnostic" (default): Deterministic
classification from TTT/MP/RAF evidence only. No stochastic rescue, no
stochastic score blending.mode = "research": Full adaptive architecture with
stochastic rescue and distributional scoring.compute_instability_flags(): 6 deterministic metrics
per treatment (Fano deviation, crossing variability, Wasserstein/Energy
distance from both controls, TTT dispersion, RAF-MP inconsistency)"moderate" (2+ flags),
"strict" (1+), "lenient" (3+)INCONCLUSIVE_MATRIX_EFFECT when minimum flags
exceededprofile = "auto" selects based on Cohen’s d separation
qualitykwela_analyze() call"strict", "majority" (default),
"flexible", "threshold"
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