{"id":"W4252534338","doi":"10.22215/etd/2018-12952","title":"Parallel Domain Decomposition Based Power System Simulation","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Domain decomposition methods; Computation; Overhead (engineering); Electric power system; Parallel computing; Set (abstract data type); Decomposition; Domain (mathematical analysis); Supercomputer; Speedup; Latency (audio); Power (physics); Algorithm; Distributed computing; Mathematics; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001719936,0.0003555619,0.0004005277,0.0002324183,0.00009465388,0.0001412139,0.0001330301,0.0004467637,0.000622256],"category_scores_gemma":[0.00000613766,0.0003480575,0.0001786638,0.0001513419,0.000007373012,0.0001633558,0.000002895521,0.0001385312,0.0008163592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002277112,"about_ca_system_score_gemma":0.00003188855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002166268,"about_ca_topic_score_gemma":0.00006215709,"domain_scores_codex":[0.9984843,0.0000620986,0.0005754489,0.0002831325,0.0003440002,0.0002510014],"domain_scores_gemma":[0.9991803,0.00007533898,0.0001320926,0.0003381485,0.0001740861,0.0001000714],"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":[0.000134908,0.00001905646,0.00001970062,0.000593496,0.0001154707,0.000004893524,0.0002506394,0.9936947,0.001353123,0.001245529,0.001668463,0.0009000687],"study_design_scores_gemma":[0.0008862118,0.00003821995,0.0008547234,0.0002962064,0.00004137067,0.000001125773,0.0004690456,0.9903771,0.0002025821,0.00004546958,0.006370252,0.0004177307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0950111,0.000251925,0.304942,0.00001203867,0.004039629,0.001487626,0.00002677801,0.002637399,0.5915915],"genre_scores_gemma":[0.9932525,0.000001220491,0.001620308,0.00002143106,0.0002753675,0.00007797221,0.001680851,0.0001041254,0.002966262],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8982413,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005437328185166986,"score_gpt":0.2486596504722871,"score_spread":0.2432223222871201,"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."}}