{"id":"W1974081606","doi":"10.1109/pesgm.2012.6343968","title":"Large-scale transient stability simulation of electrical power systems on parallel GPUs","year":2012,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada); University of Alberta","funders":"","keywords":"Computer science; Parallel computing; Solver; Scalability; Massively parallel; Transient (computer programming); Computational science; CUDA; General-purpose computing on graphics processing units; Graphics; Stability (learning theory); Graphics processing unit; Parallel processing; Parallel algorithm","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":[0.0004272636,0.0001211079,0.0002240617,0.00005049857,0.00002583361,0.00001044471,0.00006387262,0.0000933409,0.0003153571],"category_scores_gemma":[0.00002933721,0.0001031426,0.00007291375,0.0001735133,0.0000123364,0.0001265675,0.000005560418,0.00008563718,0.00002759325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001000207,"about_ca_system_score_gemma":0.00000814923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004970272,"about_ca_topic_score_gemma":0.00000467166,"domain_scores_codex":[0.9988986,0.00008117659,0.0003784157,0.0001238438,0.0002256898,0.0002922753],"domain_scores_gemma":[0.9994076,0.0001029764,0.00002935961,0.0002753896,0.0000632177,0.000121493],"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":[0.00002803508,0.0002421687,0.006854977,0.00006248214,0.00001614516,8.243346e-8,0.001349947,0.9895267,0.0002064161,0.001517462,0.0001788615,0.00001671475],"study_design_scores_gemma":[0.0003865572,0.0000543525,0.0117861,0.00000889376,0.000007781752,6.313798e-7,0.0002294146,0.9822081,0.0005832065,0.000004192696,0.004585688,0.0001451293],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2540116,0.000213466,0.7222027,0.000008879856,0.0004950414,0.0003379439,0.00001872383,0.0002048014,0.02250686],"genre_scores_gemma":[0.9995961,0.000002970979,0.0002813684,0.00001154936,0.00001103435,0.00001365825,0.000007621657,0.00001471662,0.00006095087],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7455845,"threshold_uncertainty_score":0.4206033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483289926679195,"score_gpt":0.2335251252543714,"score_spread":0.2186922259875794,"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."}}