{"id":"W1495102808","doi":"10.4271/2007-01-0278","title":"Variable Torque Distribution Yaw Moment Control for Hybrid Powertrains","year":2007,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Vehicle Dynamics and Control Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Powertrain; Torque; Variable (mathematics); Moment (physics); Control theory (sociology); Direct torque control; Automotive engineering; Computer science; Control (management); Physics; Engineering; Mathematics; Electrical engineering; Classical mechanics; Induction motor; Voltage","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":[0.0001594848,0.0002404397,0.0001630331,0.0001654756,0.000107506,0.0003484357,0.0003704325,0.00009558721,0.001259046],"category_scores_gemma":[0.0002332935,0.00008535675,0.0001102507,0.00009858837,0.0001707769,0.0001917567,0.0002433867,0.0001475284,0.0002038483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810305,"about_ca_system_score_gemma":0.0001073342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001197532,"about_ca_topic_score_gemma":0.001434903,"domain_scores_codex":[0.9999373,0.00001004342,0.000003989299,0.00001173696,0.00002814219,0.000008810988],"domain_scores_gemma":[0.9999083,0.00002822413,0.00001990751,0.00001137216,0.00002723287,0.000005043488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006013425,0.0001442189,0.00142599,0.0003150048,0.00007044832,0.0001593134,0.0001660092,0.3278579,0.2646035,0.008528369,0.00214101,0.3939869],"study_design_scores_gemma":[0.00007740616,0.0005522557,0.001746627,0.000009813356,0.00001839155,0.00005999565,0.00003002976,0.9591304,0.0309039,0.001791964,0.005660108,0.00001922242],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1831506,0.0003677453,0.8073596,0.00007481466,0.00007296111,0.00006901142,0.0000710351,0.00182109,0.007013033],"genre_scores_gemma":[0.9911467,0.00004076554,0.007311568,0.000007823774,0.00001132767,0.00002099573,0.00003273383,0.00001770586,0.001410314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001259046,"threshold_uncertainty_score":0.004211962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004866036153900819,"score_gpt":0.2085571983026011,"score_spread":0.2036911621487003,"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."}}