{"id":"W2001018727","doi":"10.1364/josaa.28.002510","title":"Electromagnetic scattering from cylindrical objects above a conductive surface using a hybrid finite-element–surface integral equation method","year":2011,"lang":"en","type":"article","venue":"Journal of the Optical Society of America A","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Finite element method; Integral equation; Scattering; Mathematical analysis; Surface (topology); Boundary value problem; Boundary (topology); Truncation (statistics); Boundary element method; Electric-field integral equation; Boundary knot method; Mathematics; Geometry; Physics; Optics","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":[0.000526792,0.0002263134,0.000507992,0.00002329906,0.00007687213,0.00002392272,0.0003936391,0.00007536436,0.0001476896],"category_scores_gemma":[0.0001768739,0.0001766373,0.0004687475,0.0003139431,0.0001948953,0.0001580324,0.00008020904,0.0006415223,0.00000297127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737693,"about_ca_system_score_gemma":0.0001114372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002323009,"about_ca_topic_score_gemma":0.000002105432,"domain_scores_codex":[0.9980199,0.0001693129,0.0006928102,0.0001827704,0.0005538882,0.000381308],"domain_scores_gemma":[0.9986768,0.0003507663,0.0003471789,0.0002581592,0.0002301306,0.0001370039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001331115,0.0002858598,0.0005543219,0.00005678309,0.0005754541,0.000003230166,0.005706041,0.05414189,0.9351774,0.00001338308,0.0002396471,0.003112856],"study_design_scores_gemma":[0.001061044,0.001233294,0.003734158,0.0002032305,0.0004093939,0.00004312678,0.001515097,0.6726803,0.3171418,0.00161048,0.00005122695,0.0003169396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8133631,0.000305993,0.185487,0.0001329336,0.000207941,0.0001665183,0.000007957251,0.00002047102,0.0003079942],"genre_scores_gemma":[0.6375736,0.00003546013,0.3622507,0.00007502959,0.00003836909,6.621827e-7,7.827658e-7,0.00001833943,0.00000699568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6185383,"threshold_uncertainty_score":0.720306,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04653909846842581,"score_gpt":0.2617736148324319,"score_spread":0.2152345163640061,"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."}}