{"id":"W2541927322","doi":"10.1109/edaps.2009.5404003","title":"A parallel framework for transient power integrity analysis","year":2009,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Parallelizable manifold; Transient (computer programming); Computer science; Convergence (economics); Very-large-scale integration; Power integrity; Gauss–Seidel method; Transient analysis; Parallel computing; Waveform; Power (physics); Grid; Computational science; Algorithm; Iterative method; Transient response; Mathematics; Embedded system; Signal integrity; Engineering; Electrical 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009455514,0.00007814771,0.0001567467,0.00007481683,0.00001867293,0.00001322434,0.00005714253,0.00007439807,0.0009654415],"category_scores_gemma":[0.00005490448,0.00006558574,0.0001508884,0.0004513933,0.000006069763,0.00002197134,0.000001083849,0.0001219748,0.000007934898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001630521,"about_ca_system_score_gemma":0.000002458963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001785672,"about_ca_topic_score_gemma":0.000001409141,"domain_scores_codex":[0.9995314,0.0000151643,0.0001313028,0.00009893761,0.00006575613,0.0001573635],"domain_scores_gemma":[0.9996133,0.0001761211,0.0000068666,0.0001206967,0.00002125818,0.00006169689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002588583,0.0004901497,0.0009506715,0.00004491773,0.001730281,0.000004396072,0.002042544,0.2871549,0.009504171,0.3306094,0.01205489,0.3551548],"study_design_scores_gemma":[0.0006046297,0.0006517412,0.05719209,0.000007858985,0.0003594075,9.063942e-7,0.00005129653,0.8158896,0.00158999,0.1078036,0.01539893,0.0004498896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01376119,0.00009674342,0.9740022,0.0005178631,0.00005316433,0.0001036086,0.000001190554,0.0002229933,0.01124105],"genre_scores_gemma":[0.5653641,0.000005096736,0.4341486,0.0003115117,0.00001264118,0.000005326892,0.000001716469,0.000003926233,0.0001470979],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.551603,"threshold_uncertainty_score":0.9999478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01987321497465486,"score_gpt":0.3157714230232203,"score_spread":0.2958982080485654,"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."}}