{"id":"W2041919522","doi":"10.1109/mwsym.2006.249440","title":"Dispersion-Error Optimized ADI FDTD","year":2006,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Finite-difference time-domain method; Dispersion (optics); Computation; Computer science; Microwave; Approximation error; Algorithm; Mathematics; Applied mathematics; Optics; Physics; Telecommunications","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":[0.0002877736,0.0003173968,0.0003545472,0.0003641824,0.0003518052,0.0005284789,0.0008973719,0.0004989811,0.002009146],"category_scores_gemma":[0.0007638154,0.0001693227,0.0002029601,0.0003555483,0.0002738621,0.0004492351,0.0004567988,0.0004586949,0.0005389358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004395602,"about_ca_system_score_gemma":0.0005577868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001179372,"about_ca_topic_score_gemma":0.001577245,"domain_scores_codex":[0.9997656,0.00002762631,0.00001244858,0.00002797582,0.0001494316,0.00001696135],"domain_scores_gemma":[0.9996732,0.00008000664,0.00003548425,0.00005050457,0.0001461335,0.00001458974],"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":[0.0003084418,0.0001438228,0.002311115,0.0004028942,0.00005795139,0.0002649399,0.0003025331,0.4403198,0.1328751,0.09191089,0.0106309,0.3204717],"study_design_scores_gemma":[0.0000193551,0.00003271097,0.0002506053,0.000009322501,0.00001114674,0.0001467699,0.00001498927,0.962028,0.02249201,0.00313516,0.01184257,0.00001726875],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01616987,0.0001804451,0.9726545,0.00009769137,0.00007441187,0.0000292425,0.00007189098,0.0004371936,0.01028474],"genre_scores_gemma":[0.2593451,0.0002497987,0.7270658,0.00005013073,0.00003209988,0.00008742436,0.0001692876,0.0001397424,0.01286067],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002009146,"threshold_uncertainty_score":0.006721258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008391812338852484,"score_gpt":0.2430263629953341,"score_spread":0.2346345506564816,"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."}}