{"id":"W2119152710","doi":"10.1109/tap.2005.858846","title":"Numerical dispersion and numerical loss in explicit finite-difference time-domain methods in lossy media","year":2005,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Lossy compression; Finite-difference time-domain method; Anisotropy; Numerical analysis; Computer simulation; Dispersion (optics); Computational physics; Finite difference method; Physics; Mathematics; Mathematical analysis; Optics; 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":[0.002103608,0.0004357759,0.0003297233,0.0005865929,0.0004468535,0.000987386,0.0006491303,0.0007626368,0.000688998],"category_scores_gemma":[0.01050129,0.0003655491,0.0002197909,0.0006227019,0.001901638,0.002386969,0.0009608919,0.0008976027,0.000205988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000810925,"about_ca_system_score_gemma":0.0004927722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001301564,"about_ca_topic_score_gemma":0.0008039614,"domain_scores_codex":[0.9993057,0.0002100617,0.00003267929,0.00004412068,0.0003743113,0.00003314539],"domain_scores_gemma":[0.9952691,0.003559109,0.0004062492,0.0003112297,0.0004047374,0.00004955972],"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":[0.0004385907,0.0001153299,0.004293492,0.0002946758,0.00003642775,0.0003155536,0.001263996,0.7590128,0.03400984,0.1139607,0.0008972481,0.08536143],"study_design_scores_gemma":[0.00001889754,0.00003126691,0.0002683367,0.00002087088,0.000005439092,0.0000939389,0.00003175199,0.9808307,0.007945592,0.009823499,0.000916046,0.00001363711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09627884,0.001043811,0.8978679,0.0003093273,0.00005664271,0.00003360735,0.00001617445,0.0002340045,0.004159821],"genre_scores_gemma":[0.7435694,0.001067886,0.2493234,0.0001086432,0.00004561328,0.00009463818,0.00004387632,0.0001990187,0.005547458],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002103608,"threshold_uncertainty_score":0.01112509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01512748977399455,"score_gpt":0.2811981865631774,"score_spread":0.2660706967891829,"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."}}