{"id":"W6948174625","doi":"10.48448/q2dq-mz13","title":"Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents","year":2021,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Virtual reality; Simulator sickness; Frame (networking); Degree (music)","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":[0.000162976,0.0002190407,0.0002912474,0.0001348928,0.0000956165,0.00004284805,0.0003362203,0.0002238491,0.00004230927],"category_scores_gemma":[0.00006329358,0.0002009207,0.0001394822,0.0001895155,0.0005617759,0.000005363171,0.00008410853,0.0001014465,0.000001177163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006640192,"about_ca_system_score_gemma":0.0002916693,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007757214,"about_ca_topic_score_gemma":0.00008978091,"domain_scores_codex":[0.9985922,0.00002220729,0.0002178033,0.000548814,0.0003197428,0.0002992103],"domain_scores_gemma":[0.9992869,0.00001369317,0.0001558742,0.0003247565,0.0001340941,0.00008462003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006294224,0.0003264503,0.0003342266,0.0002737821,0.0001657247,0.00000286608,0.00015417,0.00004455053,0.979978,0.001241574,0.008500637,0.008915046],"study_design_scores_gemma":[0.005488489,0.002562363,0.000291118,0.00165421,0.000537859,0.00003305463,0.00155775,0.02639094,0.5216469,0.003491478,0.4343203,0.002025566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06238425,0.001969384,0.7069413,0.0005368664,0.005658623,0.002254147,0.001612336,0.0001658277,0.2184773],"genre_scores_gemma":[0.9724869,0.0001292103,0.003779627,0.0003768929,0.001463532,0.00003250262,0.0007942808,0.0001956455,0.02074146],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9101026,"threshold_uncertainty_score":0.8193309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04477141827958955,"score_gpt":0.2876459907759342,"score_spread":0.2428745724963446,"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."}}