{"id":"W2949756583","doi":"10.1101/318758","title":"Estimating the sensorimotor components of cybersickness","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Balance (ability); Vestibular system; Psychology; Motion sickness; Variance (accounting)","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":[0.0007401663,0.0005144113,0.0003940396,0.001217399,0.0001313251,0.0006403042,0.0002288922,0.0002897155,0.001749177],"category_scores_gemma":[0.005646003,0.0002571292,0.0003075879,0.0006700449,0.0002458214,0.0005550449,0.0006209609,0.0003170013,0.000320309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000133049,"about_ca_system_score_gemma":0.0002926493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001981082,"about_ca_topic_score_gemma":0.00242539,"domain_scores_codex":[0.9996227,0.0001312661,0.00001956152,0.0001185289,0.00006906574,0.00003881849],"domain_scores_gemma":[0.9988171,0.0005995274,0.0002435931,0.0001157528,0.0001554265,0.00006867649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005916373,0.0003496026,0.6590572,0.0002969201,0.000672109,0.000179308,0.0005455816,0.04354564,0.07303052,0.001133917,0.0007536663,0.2198439],"study_design_scores_gemma":[0.00001273301,0.0002576254,0.8323452,0.00002854855,0.00006840444,0.0002087753,0.0001479342,0.1607821,0.004443309,0.001248112,0.0004205653,0.00003664136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9538398,0.0001483147,0.0447892,0.00004316152,0.000008097551,0.00003856121,0.0002737164,0.0001447837,0.0007144194],"genre_scores_gemma":[0.9911452,0.00009079649,0.008244707,0.000009949061,0.000007888276,0.00002163827,0.0002242204,0.00001634529,0.0002392114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001981082,"threshold_uncertainty_score":0.005851626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02641416688113976,"score_gpt":0.248674219081943,"score_spread":0.2222600522008032,"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."}}