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A multivariate framework combining machine learning with temporal control designs can effectively distinguish genuine biological rhythms from temporal artifacts in chronobiology research. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

Machine learning with temporal control designs for testing rhythmic specificity in chronobiology: A multivariate framework proposal for distinguishing genuine biological rhythms from temporal artifacts

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