{"id":"W2915254956","doi":"10.1007/s00221-019-05491-5","title":"The effects of acute exercise on visuomotor adaptation, learning, and inter-limb transfer","year":2019,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Wetenschappelijk Onderzoek; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Health Canada; Michael Smith Health Research BC","keywords":"Motor learning; Physical medicine and rehabilitation; Dreyfus model of skill acquisition; Motor skill; Psychology; Visual feedback; Adaptation (eye); Motor coordination; Physical therapy; Medicine; Developmental psychology; Neuroscience; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004434869,0.00009915376,0.0001215392,0.00009900396,0.00026408,0.00007970972,0.0001936303,0.00003983355,0.00007927114],"category_scores_gemma":[0.0004324099,0.00006923331,0.00004900324,0.0001648598,0.0002117344,0.0001141457,0.00006186072,0.0002676878,0.00009835836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003291358,"about_ca_system_score_gemma":0.0000255065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002444001,"about_ca_topic_score_gemma":0.000001135318,"domain_scores_codex":[0.9982396,0.0004659627,0.0001497603,0.0003100209,0.0005569917,0.0002776275],"domain_scores_gemma":[0.9976713,0.002019734,0.000022519,0.0001580227,0.00005254002,0.00007588116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005016999,0.00009335597,0.00003612633,0.00002252181,0.000006842452,0.000005955956,0.002156668,0.00000237375,0.9881582,0.002493123,0.0001411424,0.006382025],"study_design_scores_gemma":[0.001116853,0.00229604,0.000813461,0.00007645686,0.000002486847,0.00000193083,0.001051418,0.0020493,0.9883841,0.00007090481,0.004055377,0.00008168552],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963924,0.0003471999,0.00007012304,0.0005966835,0.0001736673,0.0009665929,0.000002507466,0.00002280483,0.001428061],"genre_scores_gemma":[0.9914423,0.0001351357,0.00001095904,0.0001249921,0.00002584573,0.0001198703,0.000001408452,0.0000166564,0.008122899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006694837,"threshold_uncertainty_score":0.2823253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03018694007327764,"score_gpt":0.3537418119665128,"score_spread":0.3235548718932351,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}