{"id":"W4389611492","doi":"10.1101/2023.12.11.570846","title":"Multimodal Mitigations for Cybersickness in Motion Base Simulators","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Centre for Interdisciplinary Research in Rehabilitation; Centre Intégré de Santé et de Services Sociaux des Laurentides; Jewish Rehabilitation Hospital","funders":"Mitacs","keywords":"Motion sickness; Simulator sickness; Virtual reality; Computer science; Simulation; Motion (physics); Task (project management); Motion capture; Human–computer interaction; Physical medicine and rehabilitation; Psychology; Artificial intelligence; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005173925,0.0006491845,0.000333875,0.0003228764,0.0001610301,0.0003365802,0.0005716463,0.0003573103,0.003946213],"category_scores_gemma":[0.001960059,0.0001519708,0.0004609107,0.000097918,0.0004112502,0.0003513485,0.0009539574,0.0003153151,0.0002704691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001455968,"about_ca_system_score_gemma":0.0002789725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003799166,"about_ca_topic_score_gemma":0.0006388004,"domain_scores_codex":[0.9996471,0.0001258121,0.00002356103,0.00004850088,0.0001036383,0.00005129807],"domain_scores_gemma":[0.9995102,0.0002111723,0.0001059537,0.00005260411,0.00005730618,0.0000628618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002566561,0.002033024,0.01035722,0.002152038,0.0002194134,0.0003581481,0.001308793,0.01324079,0.6679916,0.0009926363,0.0012446,0.2975352],"study_design_scores_gemma":[0.001595463,0.1067455,0.308307,0.001849064,0.001676917,0.004356794,0.003308098,0.08006409,0.43479,0.004308241,0.05251742,0.0004814951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9475455,0.001556059,0.04715246,0.0002623437,0.0000868575,0.0003186725,0.0001256036,0.0004596992,0.00249278],"genre_scores_gemma":[0.9736831,0.0006251466,0.02419818,0.0001385126,0.00004591998,0.0002458127,0.0001179462,0.00002851922,0.0009167401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003946213,"threshold_uncertainty_score":0.01320142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0318121664245845,"score_gpt":0.2626489319295028,"score_spread":0.2308367655049183,"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."}}