{"id":"W2137717121","doi":"10.1109/mwsym.2001.967037","title":"Performance of three-dimensional graded ADI-FDTD algorithm","year":2002,"lang":"en","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Finite-difference time-domain method; Computer science; Algorithm; Optics; 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":[0.0003327073,0.0002488538,0.0002559422,0.0002991856,0.0002915371,0.0006779507,0.0006582528,0.0004174732,0.001732381],"category_scores_gemma":[0.00129992,0.0001032056,0.0001745641,0.0002338373,0.0002175241,0.000449151,0.0003497342,0.0002180501,0.0003703866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004052634,"about_ca_system_score_gemma":0.0005806214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003433674,"about_ca_topic_score_gemma":0.002206219,"domain_scores_codex":[0.9998176,0.00002516086,0.00001455533,0.00001884683,0.0001057123,0.00001825609],"domain_scores_gemma":[0.9994785,0.0001693357,0.00003229925,0.00008423477,0.0002036485,0.00003196798],"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":[0.0004330967,0.0001012481,0.005760293,0.0001713595,0.00004496192,0.0002844502,0.0004325393,0.5796529,0.07349295,0.02965608,0.003085111,0.3068851],"study_design_scores_gemma":[0.00001209943,0.00002129129,0.0002765004,0.000004907371,0.000005503185,0.00006417785,0.00002083606,0.9843333,0.01189119,0.001379472,0.0019789,0.00001176163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1210281,0.0001894996,0.8654669,0.0001399021,0.00008018707,0.00004261002,0.00009434758,0.001413235,0.01154528],"genre_scores_gemma":[0.6945792,0.00009592973,0.3024909,0.00004150228,0.000007762831,0.00004128134,0.0001410598,0.0001070614,0.002495154],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003433674,"threshold_uncertainty_score":0.006827354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02052578101334204,"score_gpt":0.227038416247949,"score_spread":0.2065126352346069,"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."}}