{"id":"W822160575","doi":"10.17077/drivingassessment.1288","title":"Can Galvanic Vestibular Stimulation Reduce Simulator Adaptation Syndrome?","year":2007,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Galvanic vestibular stimulation; Driving simulator; Simulator sickness; Vestibular system; Simulation; Motion sickness; Adaptation (eye); Computer science; Spatial disorientation; Sensory system; Audiology; Physical medicine and rehabilitation; Psychology; Virtual reality; Medicine; Artificial intelligence; Cognitive psychology; Neuroscience","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":[0.000154504,0.0002510786,0.0002810621,0.0001590332,0.00005771051,0.0001732335,0.0001801681,0.0005988728,0.001616511],"category_scores_gemma":[0.001194234,0.00005769708,0.0001960187,0.00007515247,0.0002146791,0.000213509,0.0001377301,0.000201694,0.0002581284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004702794,"about_ca_system_score_gemma":0.0001431362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003048213,"about_ca_topic_score_gemma":0.0004947336,"domain_scores_codex":[0.9999273,0.0000297849,0.0000067931,0.000007416183,0.00001430366,0.00001439691],"domain_scores_gemma":[0.9998785,0.00006111078,0.0000211129,0.000006990158,0.00001220574,0.00002015137],"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":[0.009009,0.005409193,0.03923632,0.002342612,0.0004103602,0.001193708,0.0004186502,0.002756512,0.2260271,0.0005126818,0.002057174,0.7106268],"study_design_scores_gemma":[0.006565325,0.1726804,0.5746419,0.00107669,0.001274554,0.01196118,0.002575264,0.01567849,0.1745703,0.005426073,0.03337944,0.0001703452],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886673,0.004490347,0.003512538,0.00104011,0.0001282108,0.00008626302,0.00005093568,0.0001055013,0.001918702],"genre_scores_gemma":[0.9959868,0.002160934,0.001106717,0.0001860627,0.00007909362,0.00003576832,0.00003768881,0.000004000939,0.0004030076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001616511,"threshold_uncertainty_score":0.005407751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306048169057881,"score_gpt":0.2932752661914655,"score_spread":0.2602147845008868,"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."}}