{"id":"W2101746877","doi":"10.1109/aps.1989.134609","title":"A simple absorbing boundary algorithm for the FDTD method with arbitrary incidence angle","year":2003,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Finite-difference time-domain method; Incidence (geometry); Boundary (topology); Algorithm; Reflection (computer programming); Simple (philosophy); Boundary value problem; Mathematics; Angle of incidence (optics); Space (punctuation); Mathematical analysis; Computer science; Optics; Physics; Geometry","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":[0.0005430419,0.000646474,0.0005313086,0.0005986026,0.0005507171,0.0008560724,0.001317433,0.001051069,0.0112628],"category_scores_gemma":[0.00159483,0.0003625621,0.0004865145,0.000654657,0.0004463594,0.0009175857,0.0008203196,0.001219088,0.006317719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000419091,"about_ca_system_score_gemma":0.0005744756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00110954,"about_ca_topic_score_gemma":0.00107545,"domain_scores_codex":[0.9996743,0.00006659348,0.00002375036,0.00004919468,0.0001640998,0.00002214307],"domain_scores_gemma":[0.9996945,0.0001022523,0.00002247066,0.00005576429,0.0001118017,0.00001323341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001333705,0.0001421112,0.0004098596,0.0003847923,0.00005174936,0.0002161869,0.0003506517,0.2055537,0.08085327,0.1877767,0.01496539,0.5091622],"study_design_scores_gemma":[0.00004823139,0.00003118275,0.00009498869,0.00003600982,0.00001065885,0.0001677143,0.00002019997,0.8984829,0.01866086,0.01715515,0.06526259,0.0000295231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004326825,0.00002268122,0.9976286,0.00002042253,0.00003426033,0.00003296135,0.00002288867,0.0003404097,0.001465194],"genre_scores_gemma":[0.01132655,0.000058422,0.9851117,0.00004265266,0.00001448037,0.0001901715,0.0001128822,0.0002200899,0.002923104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0112628,"threshold_uncertainty_score":0.03767782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137382775969502,"score_gpt":0.2872108834320681,"score_spread":0.273472605835118,"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."}}