{"id":"W6939742656","doi":"10.6084/m9.figshare.29243340","title":"Additional file 1 of Determining the severity and prevalence of cybersickness in virtual reality simulations in psychiatry","year":2025,"lang":"en","type":"article","venue":"Figshare","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Centre for Addiction and Mental Health","funders":"","keywords":"Virtual reality; Appendix; Immersion (mathematics); Human factors and ergonomics; Trouble shooting; Software","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001386092,0.0009669943,0.001078442,0.001960151,0.00099735,0.001440808,0.001385615,0.001169112,0.9021446],"category_scores_gemma":[0.04381759,0.0005133873,0.0007804452,0.002326475,0.0002183186,0.001581306,0.0009649984,0.0008243062,0.1681475],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001155512,"about_ca_system_score_gemma":0.001646717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008554605,"about_ca_topic_score_gemma":0.01613887,"domain_scores_codex":[0.999379,0.0001618263,0.0001459055,0.0001147504,0.0001394766,0.00005893299],"domain_scores_gemma":[0.9741616,0.02019844,0.0009608158,0.001068362,0.003177576,0.0004332557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003053793,0.0001656434,0.002116876,0.002240385,0.00002287841,0.00005253342,0.0001052932,0.0002053127,0.00003110929,0.000642469,0.9707782,0.02333395],"study_design_scores_gemma":[0.005824747,0.0008468073,0.08050594,0.01061767,0.0003258408,0.001369941,0.001884557,0.004006704,0.0009992683,0.0218202,0.8714827,0.0003155637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001058141,0.00007714819,0.001164626,0.000319638,0.0001034931,0.0007884529,0.9902096,0.0006767311,0.005602233],"genre_scores_gemma":[0.04359474,0.0007485511,0.01838932,0.002086181,0.0003566075,0.01977878,0.8604441,0.002169716,0.05243203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9021446,"threshold_uncertainty_score":0.1395788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02646598423151006,"score_gpt":0.2858797762395348,"score_spread":0.2594137920080247,"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."}}