{"id":"W2006107172","doi":"10.1109/ccece.2010.5575103","title":"Modeling and analysis of a 5-leg inverter for an electric vehicle in-wheel motor drive","year":2010,"lang":"en","type":"article","venue":"","topic":"Electric and Hybrid Vehicle Technologies","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Electronic differential; Traction motor; Automotive engineering; Torque ripple; Propulsion; Torque; Electric vehicle; Inverter; Electric motor; Direct torque control; Brushed DC electric motor; Torque steering; Computer science; Motor drive; Control theory (sociology); Induction motor; Engineering; AC motor; Voltage; Control (management); Electrical engineering; Steering wheel; Mechanical engineering; Power (physics); 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":[0.00009242779,0.00008753209,0.0002130015,0.0005402421,0.00001853464,0.00001201341,0.0001064174,0.00009000131,0.000006831483],"category_scores_gemma":[0.00002514925,0.00008094615,0.00004756737,0.0006660305,0.00001554085,0.0001184295,0.00001377073,0.0001563087,4.764138e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001266408,"about_ca_system_score_gemma":0.000007791243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001022227,"about_ca_topic_score_gemma":0.0006739369,"domain_scores_codex":[0.999443,0.000003509163,0.0001681546,0.0001377283,0.00005528728,0.0001923231],"domain_scores_gemma":[0.9997203,0.00003743698,0.000012333,0.0001641022,0.0000334572,0.0000323513],"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":[0.00002751925,0.00007781074,0.05865568,0.00006219503,0.0004622158,0.000001647953,0.000228339,0.03504907,0.8476745,0.005200472,0.00007613965,0.05248442],"study_design_scores_gemma":[0.0001983642,0.00007039502,0.007117226,0.000001533203,0.00008989126,6.638679e-7,0.00002673244,0.9738841,0.01780953,0.0006947767,0.000006464662,0.0001003421],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9778556,0.00009733504,0.02145218,0.00001864343,0.00001562617,0.0001296191,0.000003526184,0.0002167981,0.0002107083],"genre_scores_gemma":[0.9973807,0.0000512859,0.002475678,0.00002001229,0.000009444382,0.00002607682,0.000003352027,0.00001290493,0.00002049363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.938835,"threshold_uncertainty_score":0.3300888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009875133963672237,"score_gpt":0.2202576643005478,"score_spread":0.2103825303368755,"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."}}