{"id":"W2097794974","doi":"10.1109/22.920165","title":"Numerical dispersion analysis of the unconditionally stable 3-D ADI-FDTD method","year":2001,"lang":"en","type":"article","venue":"IEEE Transactions on Microwave Theory and Techniques","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":266,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Finite-difference time-domain method; Polygon mesh; Dispersion (optics); Dispersion relation; Numerical analysis; Mathematics; Finite difference method; Mathematical analysis; Applied mathematics; Geometry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004272887,0.0001274486,0.0002297993,0.0001989724,0.0001014333,0.00001108742,0.00009967631,0.00008195578,0.0004651877],"category_scores_gemma":[0.000008126297,0.00009612614,0.0001714091,0.0008446774,0.00007733971,0.00005493696,0.000001049427,0.0001903454,0.000001581584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003039737,"about_ca_system_score_gemma":0.000008000891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009506688,"about_ca_topic_score_gemma":0.000004949886,"domain_scores_codex":[0.9991133,0.0002971638,0.0002019529,0.0001452243,0.0001056553,0.0001366582],"domain_scores_gemma":[0.9991875,0.0004975316,0.00003371175,0.0001996398,0.00003415652,0.00004751341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001266288,0.0001086337,0.00004818949,0.00001974294,0.0005057578,0.000001226886,0.0001501781,0.01944364,0.8064898,0.004171511,0.00005957496,0.1688751],"study_design_scores_gemma":[0.0001033399,0.0001014673,0.0003019319,0.0000201228,0.0004468991,0.000009877749,0.0000261131,0.006130102,0.9832548,0.008421228,0.001041872,0.0001422818],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06878129,0.0001034467,0.9283346,0.00004854183,0.00005437394,0.0001229331,0.00001791207,0.0001698874,0.002366988],"genre_scores_gemma":[0.9688761,0.0001837097,0.03040855,0.000131735,0.000009305246,0.00001905833,0.000002556923,0.00001629555,0.0003526608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9000948,"threshold_uncertainty_score":0.5093479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008114092416394714,"score_gpt":0.2665118219022751,"score_spread":0.2583977294858804,"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."}}