{"id":"W4417131991","doi":"10.1109/ap-s/cnc-usnc-ursi55537.2025.11266425","title":"Extending FDTD Accuracy: Incorporating Spatial and Temporal Dispersion in Constitutive Relations","year":2025,"lang":"","type":"article","venue":"","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada; Royal Ottawa Mental Health Centre","funders":"","keywords":"Finite-difference time-domain method; Dispersion (optics); Relation (database); Dispersion relation; Extension (predicate logic); Finite difference method; Domain (mathematical analysis)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005075631,0.0002748779,0.0003800752,0.0004233608,0.0002247715,0.00009686183,0.00009599913,0.0002084837,0.0004667891],"category_scores_gemma":[0.001226253,0.0002891567,0.00006025785,0.001039832,0.0001871798,0.0002848618,0.0001143833,0.0005096616,0.00001674051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000207041,"about_ca_system_score_gemma":0.0001318066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005880992,"about_ca_topic_score_gemma":0.0002219961,"domain_scores_codex":[0.9981862,0.0002426475,0.000690069,0.0003955816,0.0001446,0.0003408672],"domain_scores_gemma":[0.9979646,0.001585518,0.0000993277,0.0001842012,0.00005097219,0.0001153536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001130228,0.0001541876,0.3377301,0.0002116441,0.0000983183,0.00002875299,0.0008355699,0.02172782,0.01007927,0.1217857,0.0002298294,0.5070059],"study_design_scores_gemma":[0.001398416,0.0001228756,0.08094707,0.0004605269,0.00005642192,0.000004346294,0.0003647171,0.9061239,0.001077639,0.007769743,0.001282668,0.0003916242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1915702,0.0027639,0.7036332,0.001316247,0.0009086432,0.0007641768,0.000007003196,0.0001807369,0.09885588],"genre_scores_gemma":[0.9433594,0.0001400534,0.05539976,0.0001053161,0.0000458061,0.0000137409,0.000009141088,0.00001578983,0.0009109858],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8843961,"threshold_uncertainty_score":0.9999561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305342836481566,"score_gpt":0.2972832530719929,"score_spread":0.2842298247071772,"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."}}