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Conditional Model Variability (CMV) is defined as CMV = (1/M) * Σ |h(Mj, Pi) - h_avg(Pi)|, where h(Mj, Pi) is the hallucination rate for model Mj given prompt Pi, and h_avg(Pi) is the mean hallucination across models for prompt Pi.

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