{"id":"W2133881549","doi":"10.1109/ias.1993.298938","title":"LIM dynamic performance assessment from parameter identification","year":2002,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scheme (mathematics); Identification (biology); Computer science; Linear induction motor; Induction motor; Dynamic testing; Algorithm; Data mining; Control theory (sociology); Artificial intelligence; Control (management); Engineering; Mathematics; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001008627,0.0005559999,0.0003822407,0.0009658553,0.0002214324,0.0007382766,0.0005166215,0.0004792209,0.002606703],"category_scores_gemma":[0.003080782,0.0001597304,0.0001711466,0.0004181076,0.0003518243,0.001083839,0.0008264943,0.0003332746,0.001143955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000409068,"about_ca_system_score_gemma":0.0002868396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000441493,"about_ca_topic_score_gemma":0.0004381519,"domain_scores_codex":[0.9991436,0.0001811356,0.00004616035,0.0001191568,0.00045297,0.0000569304],"domain_scores_gemma":[0.999062,0.0003282956,0.0001078183,0.0002088655,0.0002709768,0.00002212755],"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":[0.0009783108,0.0001599257,0.007876216,0.0006129649,0.00004858804,0.0002099157,0.0002752314,0.1836892,0.2220378,0.004943961,0.002303054,0.5768648],"study_design_scores_gemma":[0.00003988367,0.0009751968,0.01269837,0.00005990046,0.00003578099,0.0003975185,0.0001302156,0.6540245,0.317628,0.003004933,0.01093043,0.00007528026],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2310919,0.0003872189,0.7472238,0.0001039654,0.00002538332,0.0001047435,0.0002811692,0.004381104,0.01640062],"genre_scores_gemma":[0.9601302,0.0001028189,0.0366151,0.00002528688,0.000007350681,0.00008131012,0.0003223319,0.0001199947,0.002595688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002606703,"threshold_uncertainty_score":0.008720219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109519837171161,"score_gpt":0.2121859018532461,"score_spread":0.20123391813613,"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."}}