{"id":"W2122208925","doi":"10.1109/cne.2007.369743","title":"Motor Learning in a Virtual Environment for Vestibular Rehabilitation","year":2007,"lang":"en","type":"article","venue":"","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vestibular rehabilitation; Rehabilitation; Virtual reality; Virtual machine; Task (project management); Physical medicine and rehabilitation; Vestibular system; Motor learning; Motor skill; Computer science; Audiology; Psychology; Human–computer interaction; Medicine; Physical therapy; Engineering; Developmental psychology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003791987,0.0003829368,0.0003129835,0.0002077551,0.0001217005,0.0004767269,0.000386116,0.0002808558,0.001990364],"category_scores_gemma":[0.001517428,0.0001331772,0.0002189829,0.00007279746,0.0001799645,0.0003665148,0.0005743573,0.0001911666,0.0002858066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109681,"about_ca_system_score_gemma":0.000221882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005394038,"about_ca_topic_score_gemma":0.0007662741,"domain_scores_codex":[0.9997527,0.0001127679,0.00001313084,0.00001836974,0.00007083265,0.00003225765],"domain_scores_gemma":[0.9996866,0.000163464,0.00003400769,0.00002143182,0.00003182581,0.00006275908],"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":[0.008070863,0.007937416,0.01411873,0.0008091139,0.0002127135,0.0009695358,0.001123699,0.02871364,0.4433552,0.00213535,0.001812742,0.490741],"study_design_scores_gemma":[0.00268198,0.1218171,0.2915314,0.0005594308,0.001052225,0.008828193,0.002111367,0.2870185,0.2230234,0.009429374,0.05141528,0.0005318164],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714856,0.0002625548,0.02593275,0.00007471588,0.00001739861,0.0001269519,0.00004380623,0.0002003897,0.001855831],"genre_scores_gemma":[0.9756538,0.0002152946,0.02280223,0.00003773444,0.000008800844,0.0001260162,0.00007014447,0.00001231057,0.001073677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001990364,"threshold_uncertainty_score":0.006658494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164683580537971,"score_gpt":0.2484707031604651,"score_spread":0.2368238673550854,"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."}}