{"id":"W4253689428","doi":"10.32920/ryerson.14653101.v1","title":"Vestibular rehabilitation using a virtual environment for driver safety","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Older Adults Driving Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Vestibular system; Driving simulator; Sensory system; Simulation; Rehabilitation; Computer science; Simulator sickness; Virtual reality; Physical medicine and rehabilitation; Psychology; Human–computer interaction; Audiology; Medicine; Cognitive 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":[0.0001577572,0.0002072372,0.0001328057,0.0002103136,0.0001483866,0.0003041998,0.0001532615,0.0001946776,0.002793367],"category_scores_gemma":[0.0003381132,0.00004946904,0.0002424738,0.0000771375,0.0001260829,0.0002204173,0.0004329712,0.0001331106,0.0003194158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006545633,"about_ca_system_score_gemma":0.0003225337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003995173,"about_ca_topic_score_gemma":0.0005238458,"domain_scores_codex":[0.99991,0.00003009848,0.000003996771,0.00000770819,0.00003078211,0.00001743781],"domain_scores_gemma":[0.9999423,0.00001653998,0.000005646643,0.000005732573,0.00001154403,0.00001827599],"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":[0.00159401,0.002954365,0.01205058,0.0005812224,0.0001095995,0.0006390099,0.001603226,0.007454966,0.3555283,0.003397812,0.00329202,0.610795],"study_design_scores_gemma":[0.001388509,0.05893062,0.317881,0.0008939893,0.0008808271,0.009875531,0.006910001,0.09357364,0.3258177,0.01335095,0.1701563,0.0003408808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647088,0.000924668,0.02566461,0.0002768325,0.00006540368,0.0001009074,0.00008382557,0.0002115316,0.007963459],"genre_scores_gemma":[0.9889328,0.0005827298,0.007779348,0.00004471736,0.00001717793,0.00005278504,0.00004964657,0.00000838291,0.00253237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002793367,"threshold_uncertainty_score":0.009344757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06235673909820234,"score_gpt":0.4027768055969942,"score_spread":0.3404200664987919,"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."}}