{"id":"W2045159595","doi":"10.1109/aps.2013.6711111","title":"FDTD on a Lebedev grid for improved material modelling","year":2013,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Finite-difference time-domain method; Grid; Stencil; Computer science; Finite difference method; Dispersion (optics); Computational science; Mathematical analysis; Mathematics; Optics; Geometry; Physics","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":[0.0004118277,0.0003066235,0.0004545886,0.0004591593,0.0003103699,0.0007968594,0.000658823,0.0006077851,0.002547489],"category_scores_gemma":[0.001474916,0.0002113845,0.0003590139,0.0006130858,0.0003615061,0.00070896,0.0006041745,0.0006414368,0.0009110885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004264924,"about_ca_system_score_gemma":0.0005952122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002199129,"about_ca_topic_score_gemma":0.001812605,"domain_scores_codex":[0.9997613,0.00007587206,0.00001270748,0.00001702952,0.0001146673,0.00001840357],"domain_scores_gemma":[0.9996074,0.0001907765,0.0000191682,0.00008402057,0.00008460748,0.00001400263],"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":[0.0001365203,0.0000810219,0.001607846,0.0001817568,0.0000303744,0.0004541569,0.0002357289,0.6485184,0.0390081,0.120469,0.005834426,0.1834427],"study_design_scores_gemma":[0.00001199797,0.00001650822,0.0001092952,0.00001170054,0.000003008436,0.00007304735,0.00001326747,0.9825709,0.005037421,0.004142792,0.008001084,0.000008871467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009914977,0.0001391256,0.9846421,0.00009276409,0.00007889224,0.00002746393,0.0000753366,0.0005074335,0.004521845],"genre_scores_gemma":[0.1722427,0.00037701,0.8208489,0.00007243654,0.00002521153,0.0001285133,0.0002576817,0.0002384838,0.005808991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002547489,"threshold_uncertainty_score":0.008522272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641431697145324,"score_gpt":0.2380845378309718,"score_spread":0.2216702208595186,"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."}}