{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009039487,0.0003782278,0.0004507557,0.000148941,0.0002723976,0.0003205445,0.002410602,0.0002629219,0.00000937373],"category_scores_gemma":[0.0002655744,0.0003125307,0.0001456948,0.0006227292,0.0002642497,0.0002464374,0.001527063,0.0004708825,0.00008529527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001421308,"about_ca_system_score_gemma":0.0003658544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001751986,"about_ca_topic_score_gemma":7.450924e-7,"domain_scores_codex":[0.9975117,0.0001654122,0.000567815,0.000773492,0.0005375271,0.0004440024],"domain_scores_gemma":[0.9954179,0.0001490989,0.0006918484,0.00288942,0.0006469091,0.0002048277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003245358,0.0007986759,0.003322884,0.001034287,0.0005991017,0.00002774662,0.0002932004,0.002193857,0.9498908,0.03823756,0.003473705,0.00009570406],"study_design_scores_gemma":[0.0009510952,0.0002147132,0.3495586,0.001415798,0.0002095082,1.058731e-7,0.000005652153,0.3252797,0.312051,0.0001845958,0.00811557,0.002013686],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7233823,0.0001301371,0.2733546,0.000669658,0.00133033,0.0006954698,0.00009622355,0.0003080011,0.00003329287],"genre_scores_gemma":[0.9126261,0.00001199423,0.08670413,0.0001819277,0.0003608496,0.00007417069,1.627115e-7,0.00003840354,0.000002222228],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6378399,"threshold_uncertainty_score":0.9999327,"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."}}