{"id":"W2156592173","doi":"10.1109/tpwrd.2013.2297119","title":"Parallel Massive-Thread Electromagnetic Transient Simulation on GPU","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Power Delivery","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Thread (computing); Computer science; Emtp; Parallel computing; Supercomputer; Electric power system; Graphics processing unit; Embedded system; Computational science; Power (physics); Operating 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001078225,0.0002718468,0.0002561978,0.0002279694,0.0001239854,0.00005723753,0.0001175911,0.0001311459,0.0002875717],"category_scores_gemma":[0.000002554701,0.0002741808,0.0001895253,0.0001932802,0.0000298648,0.0001752869,2.532148e-7,0.0002547991,0.0006158148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128547,"about_ca_system_score_gemma":0.00001286794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001590381,"about_ca_topic_score_gemma":0.00001358093,"domain_scores_codex":[0.9986262,0.00008311508,0.0003519238,0.0002848461,0.0003182786,0.0003356277],"domain_scores_gemma":[0.9992159,0.0002034732,0.0000379877,0.0003479179,0.000062269,0.000132463],"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":[0.0001078188,0.00008248624,0.000001110687,0.00001420089,0.00005703492,0.000002280367,0.0001893836,0.9754372,0.004504069,0.00007173373,0.0001539331,0.01937874],"study_design_scores_gemma":[0.00148709,0.0005465081,0.0006444307,0.00004830379,0.00005042634,0.000003020489,0.00001812168,0.9897091,0.001862318,0.00009557919,0.005179457,0.0003556474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1743641,0.00005609491,0.8151666,0.0000839002,0.0008806383,0.0003664727,0.00001212253,0.0005001019,0.008569991],"genre_scores_gemma":[0.9988796,0.00003232087,0.0001972939,0.0001818044,0.00005205252,0.00005273047,0.000005261687,0.00005791387,0.0005410548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8245155,"threshold_uncertainty_score":0.999971,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00808455020466267,"score_gpt":0.2081032312138402,"score_spread":0.2000186810091776,"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."}}