{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002952472,0.0004696719,0.0003598306,0.0003066302,0.0003018352,0.0004780001,0.0008995681,0.0008794608,0.001224199],"category_scores_gemma":[0.001229193,0.0004117674,0.0004035733,0.0006179097,0.0004676496,0.0006580437,0.0007493261,0.0004890859,0.0001861198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120886,"about_ca_system_score_gemma":0.0005688409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003236701,"about_ca_topic_score_gemma":0.001837625,"domain_scores_codex":[0.9998392,0.00004553688,0.000008405653,0.00001771782,0.00006289395,0.00002608378],"domain_scores_gemma":[0.9996684,0.0001699583,0.00004438671,0.00004483679,0.00004657222,0.00002594444],"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":[0.00004632865,0.0000230044,0.0004169082,0.00002469417,0.00001411814,0.00007452722,0.00005718425,0.9810219,0.007571508,0.005547456,0.0001745636,0.005027733],"study_design_scores_gemma":[0.000004854703,0.00001121106,0.0000309648,8.298869e-7,0.000001375771,0.000007013871,0.000003893081,0.9986979,0.0007325365,0.0003828837,0.0001248883,0.000001680354],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3229325,0.00022281,0.662092,0.0001621568,0.00004608774,0.00008213591,0.0001500565,0.0008278947,0.01348445],"genre_scores_gemma":[0.8913602,0.0001521189,0.1053317,0.00003177242,0.00001421417,0.0001288175,0.0001857927,0.0001056646,0.002689679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003236701,"threshold_uncertainty_score":0.006435752,"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."}}