{"id":"W4380480982","doi":"10.1007/978-3-031-24837-5_21","title":"Electromagnetic Transient Modeling of Power Electronics in Modelica, Accuracy and Performance Assessment","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in electrical engineering","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Modelica; Transient (computer programming); Insulated-gate bipolar transistor; Power electronics; Emtp; Converters; Controller (irrigation); Electronic engineering; Electronics; Power (physics); Computer science; Engineering; Control engineering; Electrical engineering; Electric power system; Voltage; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002274404,0.0005261772,0.0008176853,0.0007807677,0.00002122553,0.00004059464,0.0001930886,0.0005173879,0.00001704736],"category_scores_gemma":[0.00006960435,0.0005622857,0.000122881,0.0003575991,0.0000128275,0.0001293159,0.00002212956,0.001387381,0.000003811263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004247991,"about_ca_system_score_gemma":0.00007752548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001425643,"about_ca_topic_score_gemma":0.00002665528,"domain_scores_codex":[0.9976882,0.00001434242,0.0008386911,0.000415172,0.0003689676,0.0006746281],"domain_scores_gemma":[0.9991589,0.0003491242,0.00006732872,0.0002834306,0.0000468248,0.00009442541],"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":[0.00001989487,0.000009636821,0.00001212062,0.0002061067,0.00004711791,0.000008218113,0.0000739071,0.9804467,0.003393031,0.001957397,0.000001125199,0.01382475],"study_design_scores_gemma":[0.0005917129,0.0002028149,0.0001796434,0.0003076447,0.00002679421,0.000010519,5.077454e-7,0.9970002,0.0001477664,0.0009092898,0.0001343767,0.0004887294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1509144,0.02314632,0.7832238,0.0001535222,0.000599869,0.002832017,0.00001951999,0.001378368,0.03773215],"genre_scores_gemma":[0.9969869,0.001987505,0.0005604568,0.00001268264,0.0000546447,0.0000456197,0.00001763476,0.0001806583,0.0001539587],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8460724,"threshold_uncertainty_score":0.9996828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007422328622371799,"score_gpt":0.2092551975629052,"score_spread":0.2018328689405334,"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."}}