{"id":"W4390483679","doi":"10.1109/ssci52147.2023.10371953","title":"Resting-state EEG in the Vestibular Region Can Predict Motion Sickness Induced by a Motion-Simulated in-car VR Platform","year":2023,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto","funders":"University of Glasgow; European Commission","keywords":"Motion sickness; Neurophysiology; Resting state fMRI; Computer science; Motion (physics); Electroencephalography; Brain–computer interface; Artificial intelligence; Computer vision; Simulation; 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":[0.0001896666,0.0003586581,0.0001296067,0.0003550947,0.00006257417,0.000308974,0.00009046378,0.0002438345,0.001123503],"category_scores_gemma":[0.001526977,0.00007998879,0.0001972555,0.0001374996,0.00009944172,0.0002054707,0.0001660215,0.0001687871,0.000200119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006150861,"about_ca_system_score_gemma":0.0001138783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001425288,"about_ca_topic_score_gemma":0.002980646,"domain_scores_codex":[0.9999291,0.00001641197,0.00000575444,0.00001646931,0.00001679305,0.00001551285],"domain_scores_gemma":[0.9996972,0.0001149793,0.00007361215,0.00002035347,0.00006272157,0.00003120436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002149992,0.0005174465,0.471332,0.0003853573,0.0004072028,0.0004633623,0.0008168893,0.005489773,0.3873522,0.0002205094,0.000766744,0.1300985],"study_design_scores_gemma":[0.000009523594,0.0005285981,0.985948,0.00001360001,0.00005401626,0.0001696063,0.0001882632,0.006926654,0.005862459,0.00009869563,0.0001882711,0.00001231648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994225,0.0001286382,0.00466383,0.00002088612,0.000007634825,0.00002694128,0.0002553861,0.00004866327,0.0006231822],"genre_scores_gemma":[0.9988549,0.00007159744,0.0006994576,0.000007393661,0.000004898642,0.000009903704,0.0001762637,0.000004202653,0.0001713392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001425288,"threshold_uncertainty_score":0.00375855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04611344593387191,"score_gpt":0.2790850206959759,"score_spread":0.232971574762104,"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."}}