{"id":"W3104360898","doi":"10.1115/detc2001/vib-21325","title":"Direct Yaw Moment Control for Motorized Wheel Electric Vehicles","year":2001,"lang":"en","type":"article","venue":"","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Electric vehicle; Traction control system; Moment (physics); Control theory (sociology); Vehicle dynamics; Controller (irrigation); Automotive engineering; Traction (geology); Control (management); Control system; Yaw; Computer science; Optimal control; Engineering; Control engineering; Mathematics; Power (physics); Artificial intelligence; Physics","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":[0.0001672278,0.000151584,0.0002673146,0.00007269047,0.00005322992,0.00004549723,0.0001174801,0.00006952624,0.00003127937],"category_scores_gemma":[0.000008916884,0.0001345671,0.0001141224,0.0001373399,0.000004680779,0.00006075359,0.00000499824,0.00005598308,0.00002695915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009152415,"about_ca_system_score_gemma":0.000009846013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004990254,"about_ca_topic_score_gemma":0.00002218177,"domain_scores_codex":[0.9991138,0.00001439514,0.0002334645,0.0001540863,0.0001216804,0.0003625593],"domain_scores_gemma":[0.9995942,0.00007744225,0.00002439629,0.0001759915,0.00004507822,0.00008296136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003012476,0.0001487872,0.003349916,0.0001416025,0.0006698822,0.00001799671,0.0001110715,0.04422577,0.84303,0.01361394,0.006282876,0.08810695],"study_design_scores_gemma":[0.002531073,0.00007251321,0.0006464907,0.000007159535,0.00002580077,0.000004352185,0.00001093917,0.9229181,0.0006928756,0.0001328152,0.0727604,0.0001974912],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4102706,0.001924099,0.5302719,0.0004511945,0.00094097,0.002166081,0.00004038971,0.001449359,0.05248537],"genre_scores_gemma":[0.9965661,0.00008380246,0.0001594981,0.00007810027,0.0002178131,0.0003066962,0.000004562674,0.00003941348,0.002544073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8786923,"threshold_uncertainty_score":0.5487489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00503464227279139,"score_gpt":0.1878457793697653,"score_spread":0.1828111370969739,"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."}}