{"id":"W4317553593","doi":"10.1109/tpwrd.2023.3238422","title":"Compensation Method for Parallel and Iterative Real-Time Simulation of Electromagnetic Transients","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Converters; Compensation (psychology); Computer science; Iterative method; Electronic engineering; Electric power transmission; Transmission line; Computation; Nonlinear system; Voltage; Line (geometry); Control theory (sociology); Engineering; Electrical engineering; Algorithm; Telecommunications","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":[0.0001647405,0.0001479731,0.0002353493,0.0002426453,0.00007747619,0.0000263878,0.00004693682,0.00008805677,0.00006629781],"category_scores_gemma":[0.000002706363,0.0001562382,0.0000995826,0.0002567472,0.0000174812,0.0001773543,2.827639e-7,0.00007011307,0.0000346066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003636356,"about_ca_system_score_gemma":0.00001103667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001952149,"about_ca_topic_score_gemma":0.000006465354,"domain_scores_codex":[0.9991083,0.00006656837,0.0003166135,0.0001795533,0.0001518295,0.0001771905],"domain_scores_gemma":[0.9992527,0.0004226297,0.00004296601,0.0001315055,0.00009644176,0.00005378355],"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":[0.0001144375,0.00002250573,0.000001635239,0.00003819061,0.00007149519,4.876561e-7,0.0006484712,0.9100749,0.08415163,0.0000203721,0.00006219334,0.004793689],"study_design_scores_gemma":[0.001198176,0.0002340826,0.0005368366,0.00002897896,0.00004973807,0.000001293774,0.00005503,0.9935665,0.003971394,0.00008068626,0.0001344716,0.0001428009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.188935,0.0000203146,0.8094132,0.00002393759,0.0001788503,0.0005504129,0.00005604935,0.0002508103,0.0005714524],"genre_scores_gemma":[0.9974369,0.00005483671,0.002006597,0.00001436025,0.00001194897,0.00006696377,0.00002062586,0.00003180365,0.0003559114],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.808502,"threshold_uncertainty_score":0.6371207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0122756172502216,"score_gpt":0.2560921869532636,"score_spread":0.243816569703042,"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."}}