{"id":"W1976322060","doi":"10.1109/pesgm.2012.6344767","title":"A real-time transient stability simulation tool for large-scale power systems","year":2012,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada)","funders":"","keywords":"Phasor; Transient (computer programming); Electric power system; Computer science; Real-time simulation; Stability (learning theory); Power system simulator for engineering; Real Time Digital Simulator; Control engineering; Scale (ratio); Power (physics); Simulation; Engineering","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":[0.0006211558,0.0001684232,0.0002717573,0.00005064776,0.00006220393,0.00006083161,0.00006734276,0.0001156,0.0004847892],"category_scores_gemma":[0.00002006717,0.0001487986,0.0001283566,0.00009805911,0.000006439399,0.0003736202,0.000005669484,0.00004959335,0.0001772449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050078,"about_ca_system_score_gemma":0.000008965675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002080018,"about_ca_topic_score_gemma":0.000003439179,"domain_scores_codex":[0.998737,0.00005342419,0.0004274673,0.0001562386,0.0001935828,0.0004322698],"domain_scores_gemma":[0.9992621,0.0001927261,0.00003608332,0.0002919071,0.00008933558,0.0001278242],"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":[0.00007854369,0.0001542196,0.002526696,0.0002658142,0.00009189678,1.891132e-7,0.002227082,0.9634904,0.02764845,0.001635798,0.001499875,0.000381039],"study_design_scores_gemma":[0.0008609572,0.0000258691,0.003877539,0.00001222651,0.00001899075,7.559599e-7,0.0002160568,0.9723453,0.000252059,0.000006683192,0.022179,0.0002045803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4863469,0.000150536,0.4682937,0.00002495794,0.0009459316,0.001946779,0.00007454748,0.000943656,0.04127305],"genre_scores_gemma":[0.998444,0.000002182258,0.0003410726,0.00001073824,0.0001338019,0.0001209872,0.00003238642,0.00003997313,0.0008748583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5120971,"threshold_uncertainty_score":0.606783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169270365870097,"score_gpt":0.2366446214891604,"score_spread":0.2249519178304594,"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."}}