{"id":"W2049058829","doi":"10.1159/000121485","title":"Sensory and Motor Conflict in Motion Sickness","year":2008,"lang":"en","type":"article","venue":"Brain Behavior and Evolution","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Motion sickness; Sensory system; Motion (physics); Psychology; Physical medicine and rehabilitation; Neuroscience; Predictability; Motion perception; Communication; Cognitive psychology; Computer science; Medicine; Artificial intelligence; Perception; 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":[0.0004491927,0.000208087,0.000208541,0.000520998,0.0003502118,0.0005237537,0.0001720319,0.0006678114,0.003218124],"category_scores_gemma":[0.004552235,0.0001711908,0.0001630561,0.0002628285,0.001013762,0.0004487339,0.0007991448,0.0004953078,0.0001165098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004268617,"about_ca_system_score_gemma":0.0002727989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009017337,"about_ca_topic_score_gemma":0.0008205156,"domain_scores_codex":[0.9996898,0.0001286335,0.00002294032,0.00003890344,0.00005891013,0.00006090013],"domain_scores_gemma":[0.9989261,0.0004620138,0.0003110092,0.00004118189,0.00006256373,0.0001970907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01307174,0.001734291,0.4247143,0.001375153,0.0006912436,0.0138661,0.009868332,0.03772033,0.1969857,0.1069606,0.005991524,0.1870207],"study_design_scores_gemma":[0.000356124,0.001034646,0.8794814,0.0001261276,0.00008592194,0.007369251,0.001512531,0.01226044,0.002053833,0.09234552,0.003284184,0.00008994416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980734,0.00209562,0.002807118,0.0009420806,0.00003610854,0.00004089492,0.0001140463,0.0000192845,0.01321086],"genre_scores_gemma":[0.9993101,0.0001527329,0.0002295257,0.00005727275,0.00001375098,0.00001164447,0.00002462615,0.000001838954,0.0001985825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003218124,"threshold_uncertainty_score":0.01076567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410766707660453,"score_gpt":0.277648722561374,"score_spread":0.2365720517953287,"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."}}