{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007365226,0.0009382541,0.0006622725,0.0005988833,0.0006064713,0.0009340518,0.001349539,0.0005305763,0.005776989],"category_scores_gemma":[0.001639461,0.0004446346,0.0008715109,0.0007206811,0.0007450205,0.001315254,0.001073596,0.001432903,0.001977694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005601248,"about_ca_system_score_gemma":0.001092275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00238476,"about_ca_topic_score_gemma":0.002345627,"domain_scores_codex":[0.9995629,0.0001068271,0.00002167871,0.00005372187,0.0002184958,0.00003634879],"domain_scores_gemma":[0.999634,0.0001173743,0.00002803629,0.00009209084,0.0001085662,0.00001988217],"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":[0.00004418652,0.00004493495,0.0002491169,0.0001310725,0.00004591368,0.000149755,0.00007040477,0.611373,0.004989882,0.2863174,0.004127464,0.09245685],"study_design_scores_gemma":[0.00001069213,0.00001634201,0.00003080009,0.000009700714,0.000007810935,0.00004274852,0.000007870366,0.9363712,0.0009445853,0.05262263,0.009928985,0.000006602745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005151965,0.00007022441,0.9969555,0.00003485825,0.00002062107,0.0000179965,0.00002146932,0.0002446524,0.002119428],"genre_scores_gemma":[0.09783386,0.0005694642,0.8952205,0.00007186522,0.00009859593,0.0002756637,0.0002281569,0.0004669245,0.005234992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005776989,"threshold_uncertainty_score":0.01932597,"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."}}