{"id":"W2126314104","doi":"10.1109/tpel.2007.915029","title":"New Online Loss-Minimization-Based Control of an Induction Motor Drive","year":2008,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":203,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Induction motor; Control theory (sociology); Inductance; Vector control; Leakage inductance; Minification; Controller (irrigation); Leakage (economics); Computer science; Rotor (electric); Engineering; Control (management); 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":[0.0004801466,0.0007199363,0.0006236569,0.0004107377,0.0003214096,0.0008203877,0.001407354,0.0003718531,0.001350346],"category_scores_gemma":[0.0005322871,0.000218559,0.0002919924,0.0002054386,0.0003784142,0.0007511739,0.0004732952,0.0006857747,0.0004639328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000403828,"about_ca_system_score_gemma":0.0003150459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008564121,"about_ca_topic_score_gemma":0.0009835272,"domain_scores_codex":[0.9996352,0.00004070933,0.00002499853,0.00006449458,0.0002149207,0.00001955271],"domain_scores_gemma":[0.9998016,0.00004043834,0.00003544429,0.00002430143,0.00008602846,0.00001231055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004072034,0.000352014,0.0006671916,0.0006409359,0.00009532559,0.0002661288,0.0002924768,0.311113,0.1083721,0.02967004,0.007330493,0.5407931],"study_design_scores_gemma":[0.00002885851,0.0001111658,0.000168762,0.000009924221,0.00001203564,0.00004299016,0.000003953279,0.986337,0.007582992,0.000787866,0.004902753,0.00001162395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006786149,0.0001882145,0.9889876,0.0000615352,0.00008323249,0.00003966726,0.00001621672,0.00104042,0.002796789],"genre_scores_gemma":[0.7323913,0.0004195727,0.2593234,0.0001858729,0.0001614116,0.0002614445,0.0001357621,0.0002230939,0.006898147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001407354,"threshold_uncertainty_score":0.004517376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007255613116901078,"score_gpt":0.2072826252100106,"score_spread":0.2000270120931096,"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."}}