{"id":"W2044911231","doi":"10.1109/imws.2009.4814916","title":"Transient Analysis of Power Grid Networks via Waveform Relaxation Techniques","year":2009,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Parallelizable manifold; Waveform; Convergence (economics); Transient (computer programming); Computer science; Relaxation (psychology); Very-large-scale integration; Transient analysis; Grid; Computational science; Power (physics); Power grid; Electronic engineering; Iterative method; Parallel computing; Algorithm; Transient response; Electrical engineering; Mathematics; Engineering; Embedded system; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000240244,0.0003630471,0.0003168284,0.0002596341,0.0002447015,0.000390759,0.000490429,0.000383835,0.001980987],"category_scores_gemma":[0.000921233,0.0002672914,0.0003374265,0.0003455505,0.0003550752,0.0007561247,0.0004077865,0.0005785452,0.0003845493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002623203,"about_ca_system_score_gemma":0.0004205558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321721,"about_ca_topic_score_gemma":0.0008725812,"domain_scores_codex":[0.9998918,0.00003118868,0.000004210508,0.00001182051,0.00004978179,0.00001124534],"domain_scores_gemma":[0.9998023,0.0001278752,0.00001895174,0.00001801666,0.00002572327,0.00000718233],"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":[0.00002512173,0.00001099487,0.0002037442,0.00005645129,0.00001209105,0.00006213765,0.00004959846,0.9322792,0.00726496,0.02243713,0.0006488902,0.03694974],"study_design_scores_gemma":[0.000004932037,0.000007665007,0.00002638665,0.000003490847,0.000001654782,0.00001531292,0.000005148157,0.9944808,0.000997214,0.003447645,0.001007596,0.000002253824],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006993599,0.00009805974,0.9896712,0.00005298312,0.00001237257,0.00001612749,0.00002047282,0.0002556245,0.002879518],"genre_scores_gemma":[0.5516109,0.0008958362,0.4401579,0.00006800749,0.0000496486,0.0001899139,0.0001889671,0.0002862886,0.006552547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001980987,"threshold_uncertainty_score":0.006627083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002859729209996075,"score_gpt":0.2040478799402732,"score_spread":0.2011881507302771,"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."}}