{"id":"W2123742518","doi":"10.1109/imtc.2004.1351527","title":"Dynamic parameter identification of induction machines using spectral analysis and output error optimization","year":2004,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Voltage; Control theory (sociology); Fourier transform; Computer science; Pulse-width modulation; Identification (biology); Algorithm; Mathematics; Physics; Mathematical analysis","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":[0.0004978461,0.0005649606,0.0004257348,0.0005964914,0.0002867876,0.0004981234,0.0003549686,0.0004166692,0.0005869765],"category_scores_gemma":[0.002160956,0.0003350354,0.0003472998,0.0003541792,0.0003470211,0.0008141397,0.0003820394,0.0004316414,0.0002596588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003376013,"about_ca_system_score_gemma":0.0003385394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001275945,"about_ca_topic_score_gemma":0.001328695,"domain_scores_codex":[0.9997131,0.00007698294,0.00001975231,0.00003898777,0.0001339219,0.00001719062],"domain_scores_gemma":[0.9995205,0.0002293924,0.00005997537,0.00005585256,0.0001249998,0.000009250114],"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":[0.000108792,0.0000671767,0.0008242322,0.00008739837,0.00003110866,0.00004168372,0.00007728327,0.8469375,0.02820136,0.007426769,0.0003995618,0.1157971],"study_design_scores_gemma":[0.000003650146,0.00001067344,0.0002589203,0.000004313032,0.0000032413,0.00001024671,0.000005234295,0.9928305,0.005072429,0.001503885,0.0002928403,0.000004211088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03004656,0.00006739043,0.968443,0.00004252763,0.000005735249,0.0000149256,0.00002270123,0.0003348773,0.001022197],"genre_scores_gemma":[0.8635369,0.0001186153,0.1346272,0.00001638654,0.00001023525,0.0001013722,0.0001560502,0.0001357607,0.001297559],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001275945,"threshold_uncertainty_score":0.002632916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234465545796537,"score_gpt":0.2356871938804508,"score_spread":0.2233425384224854,"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."}}