{"id":"W3093812624","doi":"10.1109/epeps48591.2020.9231313","title":"Accelerated Boundary Element Modeling of Lossy Conductors in Layered Media with a Single-Source Surface Impedance Operator","year":2020,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrical conductor; Lossy compression; Boundary element method; Skin effect; Electrical impedance; Boundary (topology); Boundary value problem; Surface (topology); Computer science; Operator (biology); Finite element method; Electronic engineering; Acoustics; Materials science; Electrical engineering; Physics; Engineering; Geometry; Structural engineering; Mathematical analysis; Mathematics","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":[0.0002848969,0.0005386319,0.0005594333,0.0002959853,0.0002433565,0.0005456164,0.0009310041,0.0009233688,0.002273869],"category_scores_gemma":[0.001023172,0.000293847,0.0003596019,0.0003081444,0.0003989238,0.0008710145,0.0006506382,0.0006645372,0.00086516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002303773,"about_ca_system_score_gemma":0.0004383282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202147,"about_ca_topic_score_gemma":0.001011787,"domain_scores_codex":[0.9998616,0.00003786832,0.00000503783,0.00001233457,0.00006975626,0.00001341694],"domain_scores_gemma":[0.9997044,0.0001539539,0.00003242866,0.00003269236,0.00005691945,0.00001955754],"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":[0.00004959405,0.00003951897,0.0004054921,0.0001058035,0.00002089311,0.0001505705,0.00018094,0.901285,0.04154855,0.03264628,0.001094678,0.02247275],"study_design_scores_gemma":[0.000002797676,0.000007416545,0.00002756582,0.00000413828,0.000001572509,0.00001755475,0.000008053439,0.9960073,0.001575047,0.001470968,0.000875021,0.000002638993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01732026,0.00009115078,0.9784828,0.00006177961,0.00003383294,0.00001884819,0.00004714876,0.00030274,0.003641431],"genre_scores_gemma":[0.4809115,0.0003880276,0.5063608,0.00008591277,0.00004776447,0.0002289208,0.0002825027,0.0004180694,0.01127653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002273869,"threshold_uncertainty_score":0.007606804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031444592516675,"score_gpt":0.2334435615115491,"score_spread":0.2031291155863824,"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."}}