{"id":"W6903251803","doi":"10.1109/mpe.2024.3515921","title":"Electromagnetic Transient Modeling and Simulation of Large Power Systems: EMT Simulators for the Future Grid [Feature]","year":2025,"lang":"en","type":"article","venue":"IEEE Power and Energy Magazine","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"RTDS Technologies (Canada); Opal-Rt Technologies (Canada); Polytechnique Montréal; University of Manitoba","funders":"","keywords":"Modeling and simulation; Phasor; Transient (computer programming); Power grid; Power (physics); Power network; Grid; Systems simulation; Electric power system","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":[0.000157204,0.000185187,0.0002750902,0.0001055644,0.00009589091,0.00005373342,0.00006945393,0.0001222731,0.000007863363],"category_scores_gemma":[0.000007334529,0.0001372716,0.00007347772,0.0001555686,0.00001648406,0.00009000767,0.000007248781,0.0000802615,5.713596e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001853446,"about_ca_system_score_gemma":0.00001181412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001088402,"about_ca_topic_score_gemma":0.00002049817,"domain_scores_codex":[0.9991431,0.00002758427,0.000293552,0.000183436,0.0001214206,0.000230935],"domain_scores_gemma":[0.999492,0.0001439051,0.0000344927,0.0001877346,0.00009045359,0.00005143891],"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":[0.00005824143,0.00001251286,0.00001988004,0.0001068297,0.00009306756,3.966084e-7,0.000150898,0.9933258,0.003186849,0.001650439,0.0007672888,0.0006278481],"study_design_scores_gemma":[0.001055925,0.00006430915,0.0002785151,0.00004525532,0.00006063988,0.000001628958,0.00009730113,0.9491456,0.00007128727,0.00005193693,0.04899921,0.000128366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2447028,0.03891317,0.704905,0.0004342675,0.003913873,0.000677239,0.00007560221,0.0002552393,0.00612286],"genre_scores_gemma":[0.9988182,0.0002087309,0.00002606379,0.00006555873,0.000116814,0.00003010508,0.000009871334,0.00002435479,0.0007003005],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7541155,"threshold_uncertainty_score":0.5597774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003620993005334096,"score_gpt":0.2132001049217395,"score_spread":0.2095791119164054,"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."}}