{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007916095,0.0001443631,0.0001438507,0.0002514062,0.0001258624,0.0001706264,0.0007041265,0.00008905782,0.000001891886],"category_scores_gemma":[0.0002255157,0.0001097902,0.00002296616,0.002612852,0.00003367124,0.0005048739,0.0001290327,0.0002426113,0.0000363599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001141261,"about_ca_system_score_gemma":0.00007564012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003596995,"about_ca_topic_score_gemma":0.0007285682,"domain_scores_codex":[0.9984564,0.0001034906,0.0003434702,0.0003756698,0.0003473977,0.0003735499],"domain_scores_gemma":[0.9989148,0.0001922548,0.00009307428,0.0006497378,0.00006115214,0.00008900357],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009981911,0.001553451,0.01904589,0.0001833898,0.00007386957,0.0002995573,0.05512681,0.2676975,0.03454148,0.106187,0.01562902,0.4995622],"study_design_scores_gemma":[0.000722888,0.0001880386,0.1940784,0.00006873732,0.000003964529,0.00001422914,0.0003177187,0.7902379,0.0006705709,0.01286085,0.000586896,0.0002498374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9357938,0.00000648888,0.05916587,0.003137085,0.00005561403,0.0005215838,0.000005437906,0.0002542895,0.001059787],"genre_scores_gemma":[0.9992698,0.00001716709,0.0001188749,0.0003468603,0.00001324787,0.00003623415,0.00004536403,0.000009949164,0.0001424492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5225405,"threshold_uncertainty_score":0.5437605,"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."}}