{"id":"W1975940613","doi":"10.1177/1464419314558741","title":"An integrated vehicle dynamic control strategy for three-wheeled vehicles","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part K Journal of Multi-body Dynamics","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Vehicle dynamics; Control theory (sociology); Active steering; Control engineering; Yaw; Control (management); Active safety; Control system; Engineering; Moment (physics); Computer science; Automotive engineering","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":[0.000228888,0.0006025358,0.0005090175,0.0003215058,0.0003487076,0.000693538,0.0007972749,0.0004355506,0.001393153],"category_scores_gemma":[0.0002493987,0.0001873162,0.0004412073,0.0002113442,0.0003253806,0.0004450003,0.00084472,0.000452489,0.0003144913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003560486,"about_ca_system_score_gemma":0.0005487791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005086616,"about_ca_topic_score_gemma":0.0045969,"domain_scores_codex":[0.9997967,0.00002220913,0.000008939918,0.00005232864,0.000077722,0.00004218976],"domain_scores_gemma":[0.99986,0.00001554238,0.00002106187,0.000009146716,0.00007296841,0.0000211648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003413629,0.0002868214,0.001080822,0.0002871762,0.0001625201,0.0004073492,0.0003227232,0.6542061,0.09211139,0.0149049,0.001630269,0.2342586],"study_design_scores_gemma":[0.0000381812,0.000528391,0.0008000792,0.00001733867,0.00004935848,0.00006789879,0.00006216487,0.9861606,0.007772036,0.001681134,0.002799505,0.00002318304],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03909108,0.0002477318,0.9551991,0.0000630639,0.0000677393,0.0000636262,0.00002165458,0.000354956,0.004891122],"genre_scores_gemma":[0.9705369,0.0001381478,0.02649396,0.00003780736,0.00002087184,0.00007323054,0.00004999398,0.00001350671,0.002635604],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005086616,"threshold_uncertainty_score":0.01011401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009091610658052626,"score_gpt":0.224666696159589,"score_spread":0.2155750855015364,"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."}}