{"id":"W3162256179","doi":"10.1016/j.epsr.2021.107340","title":"Modelica-based simulation of electromagnetic transients using Dynaωo: Current status and perspectives","year":2021,"lang":"en","type":"article","venue":"Electric Power Systems Research","topic":"Modeling and Simulation Systems","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Modelica; Transient (computer programming); Robustness (evolution); Flexibility (engineering); Open source; Computer science; Engineering; Control engineering; Simulation; Software","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005680721,0.0006498735,0.001055235,0.0004132336,0.0003297655,0.001712418,0.001465144,0.0009868658,0.006733859],"category_scores_gemma":[0.001612272,0.0004754447,0.0006100566,0.0006347165,0.0006176959,0.001092479,0.0004377922,0.001080852,0.001606072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005919486,"about_ca_system_score_gemma":0.001110476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01447494,"about_ca_topic_score_gemma":0.006711663,"domain_scores_codex":[0.9997844,0.00009956092,0.00001243333,0.00002223295,0.00005998062,0.00002150303],"domain_scores_gemma":[0.9990882,0.0005205703,0.0000568173,0.0001275312,0.000166446,0.00004040108],"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":[0.00008858256,0.000063459,0.0006943588,0.0001525306,0.00003967139,0.00002904692,0.0000455578,0.962397,0.00124564,0.008718898,0.0009768491,0.02554859],"study_design_scores_gemma":[0.00001462744,0.00001340295,0.000126872,0.00001447984,0.00000604323,0.000006114366,0.000009143411,0.9948474,0.0004955944,0.002046906,0.002413855,0.000005561373],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05821576,0.002413127,0.8934791,0.0009988664,0.0002227427,0.00008810171,0.0005996784,0.009257448,0.03472514],"genre_scores_gemma":[0.860567,0.002554904,0.1256242,0.000193702,0.00009364252,0.0002403138,0.0007476147,0.000777066,0.009201497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01447494,"threshold_uncertainty_score":0.02878135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1309080372052936,"score_gpt":0.3925647861339669,"score_spread":0.2616567489286733,"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."}}