{"id":"W2009495260","doi":"10.1109/ccece.2012.6334840","title":"Grid-processing for optimization based design of power electronic equipment using electromagnetic transient simulation","year":2012,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Manitoba; University of Manitoba","funders":"","keywords":"Speedup; Computer science; Transient (computer programming); Grid; Construct (python library); Power (physics); Parallel processing; Parallel computing; Computational science","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":[0.0002821681,0.0001330504,0.0001730001,0.0001082682,0.00004716907,0.00002598945,0.0000487545,0.00006645059,0.00011562],"category_scores_gemma":[0.00001096715,0.0001291775,0.00006097957,0.0001595294,0.00000749657,0.0002488339,0.000001896473,0.00004072144,0.000001454516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001505178,"about_ca_system_score_gemma":0.00004377006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003858027,"about_ca_topic_score_gemma":3.934836e-7,"domain_scores_codex":[0.998995,0.00003686448,0.0003303692,0.0001012109,0.0001551501,0.0003813753],"domain_scores_gemma":[0.9996119,0.00008744988,0.00006081088,0.0001000434,0.00008226694,0.00005758217],"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":[0.00003782814,0.00002716614,0.00001545263,0.00005449365,0.00001546346,2.001036e-8,0.00008983316,0.9580514,0.04081443,0.00005650688,0.00000931027,0.0008280945],"study_design_scores_gemma":[0.0008433358,0.0001160736,0.00007339261,0.00002156942,0.00003946931,5.359299e-7,0.00001990747,0.9945902,0.0040351,0.000009690697,0.000108713,0.0001419899],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01371917,0.0004922653,0.9843286,0.000007299109,0.0001165065,0.0006547112,0.000001422071,0.0001303246,0.0005497278],"genre_scores_gemma":[0.9779788,0.000002351969,0.02184149,0.00001941961,0.00006176209,0.0000281653,0.00001447427,0.00003473962,0.00001875639],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9642597,"threshold_uncertainty_score":0.5267706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0207726969876346,"score_gpt":0.2534625775017613,"score_spread":0.2326898805141267,"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."}}