{"id":"W1988350221","doi":"10.1007/s00221-006-0802-2","title":"Visuomotor learning in immersive 3D virtual reality in Parkinson’s disease and in aging","year":2006,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research; University of California, San Diego; National Institutes of Health","keywords":"Psychology; Efference copy; Motor learning; Proprioception; Physical medicine and rehabilitation; Sensory system; Audiology; Neuroscience; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000476122,0.0003139267,0.0002902701,0.0002213815,0.0001319432,0.0003864655,0.000301311,0.0002736914,0.001432801],"category_scores_gemma":[0.001358188,0.0001201109,0.0002052475,0.0001232307,0.0004014726,0.0006391731,0.000385165,0.0002879161,0.0000939735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001712476,"about_ca_system_score_gemma":0.0001485218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062109,"about_ca_topic_score_gemma":0.001121879,"domain_scores_codex":[0.9998521,0.00005716893,0.0000111719,0.00002397263,0.00002633373,0.00002920884],"domain_scores_gemma":[0.9997362,0.0001337626,0.000046974,0.00002889191,0.00002070108,0.00003340805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01340646,0.005123221,0.04895056,0.0006612306,0.0004804967,0.001137977,0.005190297,0.01960954,0.3725605,0.006859786,0.001632982,0.524387],"study_design_scores_gemma":[0.0007408151,0.02231028,0.7220863,0.0001291672,0.0005108537,0.004408442,0.003260013,0.06977259,0.1373533,0.02895019,0.01033975,0.0001382814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968388,0.0003136496,0.00187266,0.00005372553,0.000006372369,0.000007005817,0.00002686775,0.00001696886,0.000863936],"genre_scores_gemma":[0.9983246,0.0002121567,0.0009130486,0.000009935748,0.000005060031,0.00001058214,0.00002325276,0.000003416785,0.0004979597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001432801,"threshold_uncertainty_score":0.004793227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05852691444897138,"score_gpt":0.3740450960125506,"score_spread":0.3155181815635792,"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."}}