{"id":"W2795396523","doi":"10.1109/epeps.2017.8329738","title":"Full-wave electromagnetic characterization of 3D interconnects using a surface integral formulation","year":2017,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Admittance; Surface (topology); Integral equation; Electrical conductor; Skin effect; Characterization (materials science); Computer science; Operator (biology); Computational electromagnetics; Surface wave; Electromagnetics; Electronic engineering; Mathematical analysis; Mathematics; Physics; Electromagnetic field; Engineering; Electrical impedance; Optics; Geometry; 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":[0.0000840852,0.0001205719,0.0001935588,0.00005079035,0.0001677443,0.00009807747,0.0001399289,0.00002816168,0.0005818541],"category_scores_gemma":[0.000007492396,0.0001093929,0.00008502098,0.00006265903,0.00003072391,0.0002146905,0.00004629958,0.00007340694,0.00000643049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001577344,"about_ca_system_score_gemma":0.0000255133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005590817,"about_ca_topic_score_gemma":0.00001326882,"domain_scores_codex":[0.9992892,0.00002261839,0.0002197729,0.0001734183,0.00009751701,0.0001974971],"domain_scores_gemma":[0.9992794,0.00001539662,0.0002554245,0.000335071,0.00007754428,0.00003720022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001572403,0.00003546286,0.007324743,0.000007208107,0.0000440385,2.581819e-7,0.00009082786,0.00002237933,0.9828559,0.001493385,0.000002767985,0.008107335],"study_design_scores_gemma":[0.001066335,0.0008340384,0.05970142,0.0001416546,0.0002614663,0.000006182771,0.0001398962,0.3213358,0.613575,0.002367489,0.00004344796,0.0005272679],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694446,0.000003731359,0.02759611,0.00008248644,0.00004875426,0.00007723086,0.00000498035,0.00001581435,0.002726264],"genre_scores_gemma":[0.9960644,0.000001027138,0.003101229,0.000009745771,0.00009054469,0.000001992199,0.0000421273,0.00001235859,0.0006765298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3692808,"threshold_uncertainty_score":0.6370895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181335022054691,"score_gpt":0.2519336652884379,"score_spread":0.2338001630829688,"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."}}