{"id":"W2159736203","doi":"10.1109/tadvp.2005.862656","title":"Simulation of Coupled Interconnects Using Waveform Relaxation and Transverse Partitioning","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Advanced Packaging","topic":"Lightning and Electromagnetic Phenomena","field":"Physics and Astronomy","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Waveform; Interconnection; Transverse plane; Computational complexity theory; Electronic engineering; Reduction (mathematics); Limiting; Relaxation (psychology); Electronic circuit; Computer science; Integrated circuit; Circuit complexity; Algorithm; Parallel computing; Engineering; Mathematics; Electrical engineering; Telecommunications","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":[0.00005950129,0.0001154354,0.0001358575,0.00009718523,0.0001747958,0.00001869939,0.00002956232,0.00002207978,0.00005649937],"category_scores_gemma":[0.000001002458,0.0001201473,0.00004952105,0.0001480168,0.00003489446,0.0002534953,4.155382e-7,0.0001099508,0.000002140996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003721833,"about_ca_system_score_gemma":0.00001495604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001373533,"about_ca_topic_score_gemma":0.00001084873,"domain_scores_codex":[0.9993263,0.00001901594,0.0002201553,0.0001682617,0.00009430668,0.0001719795],"domain_scores_gemma":[0.9996265,0.00009405847,0.0001021268,0.0001014419,0.00004276314,0.00003313732],"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":[0.0000318063,0.00006644219,0.0002160916,0.00001363194,0.00001840424,2.341033e-7,0.0003648489,0.9112328,0.0766564,0.000491369,4.006307e-7,0.01090752],"study_design_scores_gemma":[0.001226332,0.0001258904,0.0003330775,0.0001617467,0.00006500948,0.000001030158,0.0004589582,0.8510221,0.1420298,0.004334941,0.00002583229,0.0002152958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5016083,0.000007527252,0.4978013,0.00001348489,0.00005209566,0.000067359,0.000005380052,0.00002137607,0.000423146],"genre_scores_gemma":[0.9974461,0.000001096455,0.002389664,0.000007869224,0.00004183494,0.000009046718,0.000008122811,0.00001575721,0.00008052524],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4958378,"threshold_uncertainty_score":0.4899465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00926435589854041,"score_gpt":0.2390237802156078,"score_spread":0.2297594243170674,"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."}}