{"id":"W2901956798","doi":"10.1109/epeps.2018.8534218","title":"Accelerated Electromagnetic Analysis of Interconnects in Layered Media Using a Near-Field Series Expansion of the Green's Function","year":2018,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bessel function; Series (stratigraphy); Electromagnetic field; Field (mathematics); Series expansion; Function (biology); Interconnection; Integral equation; Computer science; Electronic engineering; Mathematical analysis; Applied mathematics; Physics; Mathematics; Engineering; Telecommunications; Pure mathematics; Quantum mechanics; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002256733,0.000450906,0.0002756084,0.0002962615,0.0002103573,0.0003877969,0.0003368275,0.0003127336,0.001176304],"category_scores_gemma":[0.0005314491,0.0001254785,0.0003116422,0.0002545973,0.0002390268,0.0004431741,0.0002954911,0.0003715547,0.000369146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003477802,"about_ca_system_score_gemma":0.0003985798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009302584,"about_ca_topic_score_gemma":0.001201111,"domain_scores_codex":[0.9999272,0.00001893622,0.000002881019,0.000004911417,0.00003940976,0.000006709943],"domain_scores_gemma":[0.9998631,0.00005250539,0.00001410008,0.00002058964,0.00004331539,0.0000064353],"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":[0.00004574545,0.00005455676,0.0006196822,0.0001116272,0.00002573699,0.0002227527,0.000136858,0.7431512,0.08920512,0.1154358,0.001189937,0.04980103],"study_design_scores_gemma":[0.000002345758,0.00001292399,0.00009322169,0.000003994734,0.000002704328,0.00002851782,0.000007168549,0.991865,0.003623423,0.003504815,0.0008518695,0.000004040297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0848911,0.0001775551,0.9043996,0.0001055322,0.00003881502,0.00002719055,0.00005037563,0.0005582329,0.009751608],"genre_scores_gemma":[0.6795431,0.0004782716,0.3077708,0.00004779791,0.00004421748,0.00009225695,0.0001030971,0.0002171174,0.01170333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001176304,"threshold_uncertainty_score":0.003935099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387116202014354,"score_gpt":0.2416258091326131,"score_spread":0.2277546471124695,"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."}}