{"id":"W2007606944","doi":"10.1109/pesmg.2013.6672686","title":"Estimation of induction motor single-cage model parameters from manufacturer data","year":2013,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Induction motor; Nonlinear system; Slip (aerodynamics); Cage; Voltage; Control theory (sociology); Computer science; Engineering; Artificial intelligence; Structural engineering","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":[0.00003975336,0.00008408448,0.0001184109,0.00007856669,0.00001241315,0.00002504946,0.0001545793,0.00006045396,0.0002289491],"category_scores_gemma":[0.00001589035,0.00007301273,0.00002824874,0.00009487058,0.000009003037,0.0003583483,0.00001749312,0.00006632823,0.00004539884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002541485,"about_ca_system_score_gemma":0.000003934255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102278,"about_ca_topic_score_gemma":0.000006887657,"domain_scores_codex":[0.9994864,0.000009179064,0.0001635293,0.0001336107,0.0001092009,0.0000980547],"domain_scores_gemma":[0.9995178,0.00002957692,0.00002707032,0.000376262,0.00001376853,0.0000355372],"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":[0.00000197747,0.00002890209,0.00002497396,0.000016809,0.0001155286,2.197423e-7,0.00007565069,0.526834,0.2150966,0.00002404062,0.005408778,0.2523726],"study_design_scores_gemma":[0.00006296129,0.000008729642,0.0001918358,0.000004508449,0.00003392221,1.799299e-7,0.000005701779,0.947667,0.05098807,0.0009463965,0.00001338874,0.00007729151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4765424,0.00002795029,0.5226118,0.00001884417,0.00003136199,0.00007608761,0.00001323178,0.00008642428,0.0005919629],"genre_scores_gemma":[0.8969824,0.00000861357,0.1025597,0.00002064371,0.00001633058,0.000006422043,0.0001306162,0.00001210583,0.0002631255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4208331,"threshold_uncertainty_score":0.2977372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061750325430659,"score_gpt":0.2147329403699871,"score_spread":0.1741154371156805,"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."}}