{"id":"W2009216269","doi":"10.1016/j.sbspro.2013.10.413","title":"Teaching of Simulation an Adjustable Speed Drive of Induction Motor Using MATLAB/Simulink in Advanced Electrical Machine Laboratory","year":2013,"lang":"en","type":"article","venue":"Procedia - Social and Behavioral Sciences","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"MATLAB; Induction motor; Computer science; Stepper motor; Control engineering; Simulation; Engineering; Electrical engineering; Mechanical engineering; Voltage; Programming language","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":[0.0001500181,0.00009563236,0.0001540543,0.0001221256,0.00008908949,0.00002085876,0.00007831067,0.00007030669,0.000009433159],"category_scores_gemma":[0.0000195647,0.00009311245,0.00001606929,0.00034829,0.00009092272,0.0006766089,0.00001953659,0.000168359,3.705055e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006292493,"about_ca_system_score_gemma":0.00001958112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005342392,"about_ca_topic_score_gemma":0.00001082576,"domain_scores_codex":[0.9992888,0.00002191827,0.0002057244,0.0001358871,0.0001717856,0.0001758657],"domain_scores_gemma":[0.9998097,0.00001929017,0.00005784395,0.00003098511,0.00004272044,0.0000394595],"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":[0.000004816942,0.00006289536,0.03357386,0.00004388873,0.000001579023,2.605562e-7,0.002383313,0.1858174,0.7688311,0.00004571616,3.731882e-7,0.009234775],"study_design_scores_gemma":[0.000262172,0.0002260336,0.04330828,0.00003285293,0.00001234394,6.461606e-7,0.001415172,0.9263501,0.02811773,0.00007111875,0.00001017927,0.0001933277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992716,0.0001579901,0.0002202773,0.000005120366,0.0000806718,0.0001648029,0.000003683382,0.00005539979,0.00004042461],"genre_scores_gemma":[0.9953668,0.000003190165,0.004554728,0.000001839644,0.00005110405,0.000005522287,0.000002361042,0.00001053739,0.000003906564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7407134,"threshold_uncertainty_score":0.3797015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046021019395263,"score_gpt":0.3254187999876395,"score_spread":0.2949585897936869,"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."}}