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Overconfident predictions plague mental health prediction models, but this new framework leverages evidential learning to provide more trustworthy uncertainty estimates and human-understandable reasoning signals.
EEG foundation models struggle with limited data because of structural mismatch, but SCOPE solves this by creating structured prototypes that guide adaptation, leading to better generalization.
