{"id":"W3210284351","doi":"10.1145/3485279.3485300","title":"Motion Sickness Conditioning to Reduce Cybersickness","year":2021,"lang":"en","type":"article","venue":"Symposium on Spatial User Interaction","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Motion sickness; Computer science; Conditioning; Motion (physics); Aeronautics; Physical medicine and rehabilitation; Psychology; Computer vision; Engineering; Medicine; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.000698692,0.0004451091,0.0003636249,0.0001955395,0.000250291,0.0001914715,0.0002985072,0.0002400585,0.002524812],"category_scores_gemma":[0.001004881,0.0001152232,0.0002446006,0.00008412413,0.0004539335,0.0002061927,0.0003710542,0.0006868617,0.0001217287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009895777,"about_ca_system_score_gemma":0.0004008997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004843775,"about_ca_topic_score_gemma":0.0007426883,"domain_scores_codex":[0.9996592,0.0001084903,0.00002536995,0.00008634447,0.00005548224,0.00006501599],"domain_scores_gemma":[0.9995394,0.0001400895,0.00008057377,0.00007927437,0.00004903643,0.0001115896],"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":[0.01471197,0.04899157,0.009976941,0.0009948997,0.0001565081,0.0001368386,0.00108431,0.001585652,0.75306,0.0004216666,0.0004972144,0.1683824],"study_design_scores_gemma":[0.002699659,0.6549537,0.1563378,0.00009038893,0.0002070127,0.0003657468,0.0002795761,0.003531076,0.1781645,0.0003751777,0.002938982,0.00005639697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971375,0.0001555966,0.002002086,0.00002736568,0.00002410078,0.000237081,0.0000341616,0.00003221392,0.0003498037],"genre_scores_gemma":[0.9939346,0.0002062045,0.004404511,0.00007112921,0.00002596569,0.0004193085,0.00007557316,0.00001073324,0.0008520743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002524812,"threshold_uncertainty_score":0.008446395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230401805621476,"score_gpt":0.304075783487304,"score_spread":0.2810356029251564,"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."}}