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This paper discovers 'Authority Inversion' in LLM-mediated ubiquitous systems, where models favor natural-language user claims over numerical sensor data. It proposes geometric audit metrics (CIR, AAI) and an inference-time calibration method (GAC) to correct this bias, showing significant improvements in accuracy.