{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001454508,0.00007076716,0.00008231114,0.00009446767,0.0001232347,0.00003070291,0.00007751238,0.00005717484,0.000001816785],"category_scores_gemma":[0.00003107877,0.00007071177,0.00001353337,0.000156422,0.00007229178,0.0003491729,0.00004910204,0.00006553087,0.000005755104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004423218,"about_ca_system_score_gemma":0.00002160581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000359154,"about_ca_topic_score_gemma":0.00002916947,"domain_scores_codex":[0.9993982,0.00003837631,0.0001195279,0.0002087244,0.00009819455,0.0001370098],"domain_scores_gemma":[0.9996676,0.00002721164,0.00003064909,0.0001698228,0.00002690438,0.00007779834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004089374,0.0009817675,0.3806748,0.00006626582,0.000009860789,0.00007649062,0.008669931,0.00005699339,0.1731713,0.1206024,0.002959318,0.31269],"study_design_scores_gemma":[0.0002761041,0.0000476722,0.9925233,0.000005794526,0.000002477729,0.00009548178,0.00003537319,0.006211192,0.0001111491,0.0002567057,0.0003493516,0.00008535988],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9553856,0.00013065,0.0435515,0.0005062537,0.00003628818,0.0001850014,0.000005796293,0.0000655812,0.0001332963],"genre_scores_gemma":[0.9985979,0.00005782041,0.0009952139,0.00009287988,0.00001855764,0.00003059961,0.00000403889,0.000003353557,0.0001996337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6118485,"threshold_uncertainty_score":0.2883542,"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."}}