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This paper investigates the assumption that setting LLM judge temperature to 0 ensures deterministic safety evaluations. It finds that in practice, many harnesses do not set temperature or seed, leading to high variance, and even with temperature=0, non-determinism persists due to provider-level randomness and API changes.