{"id":"W3011509562","doi":"10.1016/j.msard.2019.11.013","title":"Motor Skill Acquisition Through Virtual Reality in People with Multiple Sclerosis: The Impact of Cognitive Function and Related Biomarkers","year":2020,"lang":"en","type":"article","venue":"Multiple Sclerosis and Related Disorders","topic":"Multiple Sclerosis Research Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cognition; Multiple sclerosis; Neurorehabilitation; Dreyfus model of skill acquisition; Physical medicine and rehabilitation; Montreal Cognitive Assessment; Virtual reality; Medicine; Motor skill; Rehabilitation; Psychology; Physical therapy; Neuroscience; Cognitive impairment; Computer science; Psychiatry; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005718351,0.0005340888,0.0006388729,0.0005867662,0.0003666714,0.001223802,0.0002697182,0.0006221727,0.00166779],"category_scores_gemma":[0.003017707,0.0001798069,0.0004952672,0.0005141253,0.0002556842,0.0008272869,0.0007341204,0.0005226939,0.0002260558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002394066,"about_ca_system_score_gemma":0.0002297975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006525333,"about_ca_topic_score_gemma":0.00666595,"domain_scores_codex":[0.9996125,0.0001425488,0.00003624384,0.00006109341,0.00007430911,0.00007333966],"domain_scores_gemma":[0.9991214,0.0002955043,0.0002736588,0.00005160437,0.0001246702,0.0001331693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003991774,0.001965313,0.9421393,0.0004071227,0.0009632225,0.0005076198,0.0016598,0.0007342731,0.002505116,0.0001128823,0.0002464743,0.04476697],"study_design_scores_gemma":[0.00002531978,0.001496732,0.9962854,0.00003053103,0.0002025728,0.0002169578,0.0006474613,0.0005028321,0.0002654633,0.0001303808,0.0001800686,0.00001614482],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987156,0.0005058763,0.00006083358,0.0000274951,0.000003601437,0.000007198655,0.00005601773,0.00000260905,0.0006208725],"genre_scores_gemma":[0.9994179,0.0002122953,0.00006612189,0.00001375464,0.000004492927,0.000006042471,0.00005106668,7.169753e-7,0.0002275192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006525333,"threshold_uncertainty_score":0.01297474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03593337758143836,"score_gpt":0.2732195224703832,"score_spread":0.2372861448889448,"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."}}