{"id":"W2894107135","doi":"10.23919/ursi-at-rasc.2018.8471429","title":"Recent Advances in the Theory and Applications of the Surface-Volume-Surface Electric Field Integral Equation","year":2018,"lang":"en","type":"article","venue":"2018 2nd URSI Atlantic Radio Science Meeting (AT-RASC)","topic":"Electromagnetic Scattering and Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Electric-field integral equation; Integral equation; Volume integral; Surface integral; Surface (topology); Electric field; Field (mathematics); Gaussian surface; Physics; Electromagnetic field; Scattering; Computational electromagnetics; Volume (thermodynamics); Summation equation; Line integral; Mathematical analysis; Classical mechanics; Mathematics; Geometry; Optics; Quantum mechanics","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":[0.001086045,0.0007239942,0.0009987059,0.001292728,0.000392842,0.001215232,0.001457391,0.00117801,0.004154091],"category_scores_gemma":[0.002861816,0.0003907659,0.0008874781,0.001726732,0.001245253,0.002457944,0.001582911,0.002972833,0.001552396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007507874,"about_ca_system_score_gemma":0.0009205649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001347612,"about_ca_topic_score_gemma":0.0008586736,"domain_scores_codex":[0.9993979,0.0001957455,0.00003984287,0.0000863121,0.0002390935,0.00004118366],"domain_scores_gemma":[0.9988411,0.0006306364,0.00007841128,0.0001213822,0.0002802505,0.00004809569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003998654,0.00005068298,0.0006400477,0.0007940323,0.00003881114,0.0002585412,0.0002056354,0.02763794,0.004299627,0.7976672,0.01102138,0.1573462],"study_design_scores_gemma":[0.00001574803,0.00003415841,0.000749091,0.000169592,0.00003188889,0.0007354722,0.0000768357,0.3022178,0.001862017,0.5646803,0.1293606,0.00006649651],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.008640368,0.1281397,0.7978033,0.004435602,0.001984951,0.00004738693,0.0002174484,0.0003233834,0.05840789],"genre_scores_gemma":[0.2214995,0.1977805,0.5361452,0.001724382,0.009870735,0.0001645033,0.0007597062,0.0004982755,0.03155722],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.004154091,"threshold_uncertainty_score":0.01389682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0065411218362842,"score_gpt":0.2432428348348925,"score_spread":0.2367017129986083,"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."}}