{"id":"W6921584213","doi":"10.6084/m9.figshare.c.7858347","title":"Determining the severity and prevalence of cybersickness in virtual reality simulations in psychiatry","year":2025,"lang":"en","type":"other","venue":"Figshare","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Virtual reality; Nausea; Simulator sickness; Motion sickness; Health care; Mental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001331397,0.0002541811,0.0002080157,0.0007458091,0.0003070544,0.0007628759,0.0003268422,0.0003490915,0.001966109],"category_scores_gemma":[0.00985155,0.0002010028,0.0004702483,0.0003077478,0.0004502119,0.0004838677,0.001271546,0.0003384005,0.0001635177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004904449,"about_ca_system_score_gemma":0.000468596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002233807,"about_ca_topic_score_gemma":0.004744234,"domain_scores_codex":[0.9983399,0.0008656244,0.0001838183,0.00009935299,0.0003708614,0.0001404019],"domain_scores_gemma":[0.996582,0.001233108,0.001171859,0.0001594521,0.0004236509,0.0004300192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003922623,0.00044497,0.9523003,0.000293237,0.00009957621,0.0002621818,0.00544198,0.001808653,0.003643079,0.0001118908,0.0003016456,0.03490028],"study_design_scores_gemma":[0.00001510444,0.0009826201,0.9880342,0.0001225472,0.00004630345,0.000644093,0.005355339,0.002559371,0.001178395,0.00009707957,0.0009369536,0.00002799507],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989661,0.0000758965,0.0003638605,0.0000296937,0.000003658888,0.00002711024,0.00002988435,0.000005419908,0.0004983738],"genre_scores_gemma":[0.9993243,0.00009865425,0.0004111245,0.000008778672,0.000002244886,0.00002085017,0.00004015347,0.000001223813,0.0000926619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002233807,"threshold_uncertainty_score":0.007041216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05093776007126546,"score_gpt":0.2493399441174315,"score_spread":0.1984021840461661,"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."}}