{"id":"W2087232520","doi":"10.1109/spi.2009.5089834","title":"Fast analysis of power distribution networks using waveform relaxation","year":2009,"lang":"en","type":"article","venue":"","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Parallelizable manifold; Waveform; Convergence (economics); Computer science; Relaxation (psychology); Very-large-scale integration; Power (physics); Transient (computer programming); Iterative method; Computational science; Electronic engineering; Algorithm; Physics; Telecommunications; Engineering; Embedded 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":[],"consensus_categories":[],"category_scores_codex":[0.00006617476,0.00006577154,0.0001398237,0.00005129401,0.00005196514,0.0000143661,0.00004536677,0.0000197211,0.0002775854],"category_scores_gemma":[0.000001135231,0.0000540515,0.0000902684,0.0005171973,0.00001034748,0.00006796097,0.000006683672,0.00004897949,0.000001655217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002475326,"about_ca_system_score_gemma":0.000009956424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009881121,"about_ca_topic_score_gemma":9.367781e-7,"domain_scores_codex":[0.999507,0.00001023079,0.0001608214,0.0001003009,0.00007586474,0.0001458169],"domain_scores_gemma":[0.9997063,0.000008872959,0.0000938449,0.0001187616,0.00004086779,0.00003137636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008944962,0.000883206,0.1739757,0.000004739489,0.002651949,7.392089e-7,0.001229164,0.177055,0.01964379,0.4891458,0.001550517,0.13377],"study_design_scores_gemma":[0.0004453338,0.0003184126,0.3140022,0.00001226893,0.001094538,2.836612e-7,0.0002631567,0.6739584,0.003437988,0.005897511,0.0002671115,0.0003027497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7305223,0.00001091414,0.2499256,0.00003977004,0.00002329941,0.00003222878,0.000008690153,0.00001317467,0.01942402],"genre_scores_gemma":[0.9991424,4.132864e-7,0.0003097996,0.00001595549,0.00004972077,5.669336e-7,0.0002360932,0.000002366401,0.0002426941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4969034,"threshold_uncertainty_score":0.3039365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005212961070424297,"score_gpt":0.2214079980671728,"score_spread":0.2161950369967485,"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."}}