{"id":"W4364360668","doi":"10.1109/infoteh57020.2023.10094146","title":"Efficient Modeling of Adjustable Speed Drive Systems for Offline and Real-Time EMT Simulators","year":2023,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interfacing; Computer science; Transient (computer programming); Real-time simulation; MATLAB; Induction motor; Converters; Voltage; Controller (irrigation); Inverter; DSPACE; Emtp; Adjustable-speed drive; Control engineering; Electronic engineering; Control theory (sociology); Simulation; Engineering; Electric power system; Control (management); Computer hardware; Power (physics); Electrical 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":[0.0003031119,0.0001464357,0.0003568125,0.0001630365,0.00004311603,0.0000357606,0.00006701174,0.00008153173,0.00002095722],"category_scores_gemma":[0.00002694365,0.0001311957,0.00006872749,0.000247082,0.00001115104,0.00004485907,0.00001911367,0.00003627877,0.00004451183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003266974,"about_ca_system_score_gemma":0.00001226982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002225986,"about_ca_topic_score_gemma":0.000002589463,"domain_scores_codex":[0.9989392,0.00001787188,0.0004403672,0.0001746951,0.0001700116,0.0002578183],"domain_scores_gemma":[0.9994053,0.0001577941,0.00004576762,0.0001907153,0.0001120333,0.00008837192],"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":[0.00001458701,0.00000672409,0.00004584722,0.0002182254,0.00004535277,5.586711e-7,0.0001436728,0.9885311,0.01003489,0.0005317345,0.0003197247,0.0001076028],"study_design_scores_gemma":[0.0008931938,0.00002689438,0.00004274768,0.00005491666,0.00002306395,7.995868e-7,0.0003592749,0.998105,0.0001682853,0.00001923138,0.0001663945,0.0001401365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9546762,0.0002584893,0.03150217,0.00001618736,0.0003344069,0.001029788,0.0000355956,0.0008053702,0.0113418],"genre_scores_gemma":[0.9976249,0.00003432013,0.0001059281,0.000002526997,0.00008394642,0.00001624888,0.00002299017,0.00004193358,0.002067178],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04294873,"threshold_uncertainty_score":0.5350005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0136043378934116,"score_gpt":0.2305311781821341,"score_spread":0.2169268402887225,"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."}}