{"id":"W2160800310","doi":"10.1109/aps.2008.4619576","title":"Efficient finite-difference time-domain modeling of integrated antennas on periodic substrates","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Finite-difference time-domain method; Periodic boundary conditions; Sine; Trigonometric functions; Substrate (aquarium); Antenna (radio); Computer science; Boundary (topology); Domain (mathematical analysis); Time domain; Boundary value problem; Electronic engineering; Finite difference method; Topology (electrical circuits); Mathematics; Physics; Mathematical analysis; Optics; Engineering; Electrical engineering; Geometry; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001948718,0.000300386,0.0003495296,0.000169275,0.0001611294,0.000529893,0.0008132248,0.000646316,0.001191198],"category_scores_gemma":[0.0005358572,0.00023929,0.0003153259,0.0002691875,0.0002681163,0.0004111293,0.0002081544,0.0003805544,0.0004009907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003031598,"about_ca_system_score_gemma":0.0005150219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001444212,"about_ca_topic_score_gemma":0.001409854,"domain_scores_codex":[0.9999012,0.0000172035,0.000004759132,0.000008941637,0.00005658677,0.00001124744],"domain_scores_gemma":[0.9998099,0.00008730173,0.0000198705,0.00003305958,0.00004054502,0.000009266215],"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":[0.0000361968,0.00002951815,0.0004826116,0.00006413934,0.0000175918,0.0001187951,0.00006372463,0.9373752,0.03736362,0.01113773,0.0004206467,0.01289022],"study_design_scores_gemma":[0.000002114607,0.000006046863,0.0000418427,0.000001961751,0.000001271838,0.00001999161,0.000004687109,0.9966348,0.002601462,0.0003181278,0.0003655179,0.000002251155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0769972,0.0001659495,0.9097307,0.0000947233,0.00005038125,0.00003470729,0.0001204504,0.0004554993,0.01235029],"genre_scores_gemma":[0.736726,0.0003060962,0.2546981,0.00005295361,0.00001890025,0.0001340701,0.0002500773,0.0001145396,0.007699211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001444212,"threshold_uncertainty_score":0.003984928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02232489421999977,"score_gpt":0.2150952856840469,"score_spread":0.1927703914640471,"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."}}