{"id":"W2108200561","doi":"10.1109/tap.2011.2143686","title":"Stability Analysis and Improvement of the Conformal ADI-FDTD Methods","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Antennas and Propagation","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Conformal map; Finite-difference time-domain method; Stability (learning theory); Mathematics; Finite difference method; Mathematical analysis; Alternating direction implicit method; Applied mathematics; Computer science; 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":[0.0002833278,0.00007938482,0.0001320089,0.00007010926,0.00006349315,0.000007890892,0.00003526416,0.00004086596,0.0001210241],"category_scores_gemma":[0.000005738046,0.00005561192,0.00005924097,0.0003298769,0.00006623843,0.00006206533,7.263736e-7,0.00009607065,3.190668e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001088273,"about_ca_system_score_gemma":0.000005718293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004402311,"about_ca_topic_score_gemma":0.00002333563,"domain_scores_codex":[0.999479,0.0000701298,0.0001943266,0.00009800492,0.0000710073,0.00008751462],"domain_scores_gemma":[0.9996967,0.00006330622,0.00003491101,0.0001252547,0.00003974743,0.00004007777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006714073,0.000071114,0.0006990777,0.00008169309,0.0002421685,1.067023e-7,0.001260338,0.0007631228,0.2492697,0.0001361262,0.000001083842,0.7474083],"study_design_scores_gemma":[0.0002639944,0.0002758053,0.03395899,0.000008930535,0.0002302592,0.000001309404,0.0001076278,0.2257683,0.7389858,0.0002651665,0.00002814662,0.0001056147],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2708246,0.00004152623,0.7285194,0.00001773707,0.00007995294,0.000138303,0.000004360571,0.00002663239,0.0003475033],"genre_scores_gemma":[0.9838955,0.00007360529,0.01594931,0.00002969764,0.000003511413,0.00001303902,4.442204e-7,0.000005723311,0.00002919566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7473027,"threshold_uncertainty_score":0.2267788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02690930474283932,"score_gpt":0.2662264813590255,"score_spread":0.2393171766161862,"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."}}