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This paper introduces xAARA, an uncertainty-aware multi-expert fusion engine that augments clinical assessment of stroke rehabilitation by providing calibrated uncertainty and interpretable explanations, achieving high accuracy and reducing predictive uncertainty in movement quality evaluation.