{"id":"W2546501957","doi":"10.1109/aps.2016.7695895","title":"GSTC-based simulation of metasurfaces in finite difference techniques","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Finite-difference time-domain method; Classification of discontinuities; Finite difference method; Finite difference; Discontinuity (linguistics); Embedding; Electromagnetics; Electromagnetism; Scattering; Computer science; Mathematical analysis; Physics; Applied mathematics; Mathematics; Electronic engineering; Optics; Engineering; Quantum mechanics","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":[0.000201538,0.0002395329,0.000306056,0.0002352672,0.0001800726,0.0003773045,0.0007436887,0.0008023439,0.001037145],"category_scores_gemma":[0.00078142,0.000175146,0.0003514882,0.0002599871,0.0004499258,0.0004407806,0.0005130738,0.0004985508,0.0003118472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000316246,"about_ca_system_score_gemma":0.0003972116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520088,"about_ca_topic_score_gemma":0.001007362,"domain_scores_codex":[0.9998714,0.00002649291,0.000005793644,0.000008376075,0.00007561198,0.00001235581],"domain_scores_gemma":[0.9998006,0.00009776204,0.00001773739,0.00003522096,0.00003767815,0.0000110415],"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":[0.00004693087,0.00003169928,0.0006144823,0.00008009351,0.00001840105,0.0001518339,0.00009387342,0.890353,0.05386944,0.03965427,0.0004363131,0.01464973],"study_design_scores_gemma":[0.00000362307,0.00000585085,0.00003215585,0.000002220254,0.000001042954,0.00001480157,0.000003110598,0.9952715,0.00292837,0.001202515,0.0005324248,0.000002465438],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06866211,0.0001414708,0.9224153,0.0001452134,0.00006023441,0.00004329585,0.00007256903,0.0003804954,0.008079371],"genre_scores_gemma":[0.7131577,0.0001716468,0.2822405,0.00008423437,0.00002186709,0.0001320501,0.0001218772,0.0001198975,0.003950285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001520088,"threshold_uncertainty_score":0.003469586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02046008292798886,"score_gpt":0.2511542969163314,"score_spread":0.2306942139883425,"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."}}