{"id":"W4391640580","doi":"10.1109/access.2024.3364518","title":"Time-Domain Analysis of Temporally and Spatially Dispersive Metasurfaces in GSTC-FDTD Frameworks","year":2024,"lang":"en","type":"article","venue":"IEEE Access","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Finite-difference time-domain method; Dispersion (optics); Polarization (electrochemistry); Mathematical analysis; Surface (topology); Optics; Time domain; Frequency domain; Physics; Computational physics; Mathematics; Computer science; Geometry","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":[0.000189178,0.0002816385,0.0001985307,0.000269053,0.0001214357,0.0003897787,0.0005202556,0.0005644883,0.0008491878],"category_scores_gemma":[0.0005514877,0.0001329352,0.0003151126,0.0001988296,0.0003932656,0.0005209186,0.0003077149,0.0004241495,0.0001896709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004007077,"about_ca_system_score_gemma":0.0003464397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007948769,"about_ca_topic_score_gemma":0.0008891014,"domain_scores_codex":[0.9999033,0.00001452401,0.00000444252,0.000009461427,0.00005977063,0.000008519683],"domain_scores_gemma":[0.999792,0.00009532277,0.00002309389,0.00003395851,0.00004676069,0.000008908354],"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":[0.00007070688,0.00005972274,0.0008268856,0.000162208,0.00003628352,0.0001895199,0.0001688512,0.7019104,0.1746504,0.07331596,0.0008099825,0.047799],"study_design_scores_gemma":[0.000002650104,0.000006303298,0.00004986436,0.000003024188,0.000001606346,0.00002923998,0.000008320972,0.9901405,0.006778042,0.002050185,0.0009267768,0.000003466796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02987376,0.0001137468,0.9670603,0.00008623658,0.00002656412,0.00001858387,0.00003884375,0.000197586,0.0025844],"genre_scores_gemma":[0.404059,0.000227989,0.591996,0.00007996042,0.00002352822,0.00007315,0.0001289624,0.0001052298,0.003306211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008491878,"threshold_uncertainty_score":0.002907336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01926257020971905,"score_gpt":0.3113887796992229,"score_spread":0.2921262094895038,"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."}}