{"id":"W822160575","doi":"10.17077/drivingassessment.1288","title":"Can Galvanic Vestibular Stimulation Reduce Simulator Adaptation Syndrome?","year":2007,"lang":"en","type":"article","venue":"","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Galvanic vestibular stimulation; Driving simulator; Simulator sickness; Vestibular system; Simulation; Motion sickness; Adaptation (eye); Computer science; Spatial disorientation; Sensory system; Audiology; Physical medicine and rehabilitation; Psychology; Virtual reality; Medicine; Artificial intelligence; Cognitive psychology; Neuroscience","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":[0.0004396235,0.0001013722,0.00009631747,0.0001117353,0.0001230254,0.0001106982,0.0003438611,0.00005993163,0.00002258594],"category_scores_gemma":[0.00009768049,0.00009614749,0.00002471548,0.00054202,0.00002168338,0.0004450056,0.00006113258,0.00007637797,0.00009590633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009622135,"about_ca_system_score_gemma":0.00008564624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002169198,"about_ca_topic_score_gemma":0.00007193664,"domain_scores_codex":[0.9989262,0.00002180564,0.0002405654,0.0002784106,0.0002743034,0.0002587354],"domain_scores_gemma":[0.9990267,0.0001152269,0.00007353764,0.0005074075,0.00009761968,0.0001795218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001616343,0.0002570149,0.0004409901,0.00001981882,0.0000344146,0.0000329127,0.001657144,0.1576905,0.01464107,0.5912043,0.001015871,0.2329898],"study_design_scores_gemma":[0.0003286623,0.0002389213,0.06976474,0.00001321988,0.000007861175,0.00004577027,0.00006959237,0.9118451,0.003103178,0.01154942,0.002778599,0.0002548842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2267999,0.00001680349,0.7704529,0.0009020995,0.00006210983,0.0001676433,0.000001143838,0.0001665654,0.001430848],"genre_scores_gemma":[0.9710307,0.000002518874,0.02826823,0.0003418051,0.00003177195,0.000003961742,0.000009402697,0.000007318871,0.000304346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7541547,"threshold_uncertainty_score":0.3920781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306048169057881,"score_gpt":0.2932752661914655,"score_spread":0.2602147845008868,"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."}}