{"id":"W2117617467","doi":"10.1109/aps.2011.5996769","title":"Analysis of gain enhancement in antenna arrays covered with metamaterial superstrates using transmission line modeling","year":2011,"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 Waterloo","funders":"","keywords":"Metamaterial; Microstrip antenna; Microstrip; Metamaterial antenna; Optics; Transmission line; Materials science; Patch antenna; Antenna (radio); Broadside; Split-ring resonator; Reciprocity (cultural anthropology); Dielectric; Resonator; Optoelectronics; Acoustics; Physics; Coaxial antenna; Computer science; Telecommunications","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":[0.0001393221,0.000366667,0.0002769806,0.0001591101,0.00006235426,0.0002893997,0.0003200861,0.0003487917,0.000547699],"category_scores_gemma":[0.000313291,0.0001772293,0.0003208829,0.0001964925,0.0001935469,0.000327588,0.0001877115,0.0001531275,0.0003514418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709641,"about_ca_system_score_gemma":0.0001047062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002091886,"about_ca_topic_score_gemma":0.0002725743,"domain_scores_codex":[0.9999064,0.00001508829,0.000003224171,0.00001543126,0.00004204721,0.00001779215],"domain_scores_gemma":[0.9997894,0.00009335161,0.00004785608,0.00002772049,0.00003306748,0.000008595094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001408133,0.00003013266,0.0007606006,0.0000452393,0.0000266675,0.0001969387,0.00006276587,0.07053275,0.9180924,0.002421108,0.00009139148,0.007599107],"study_design_scores_gemma":[0.00002015048,0.0002576608,0.002914123,0.000008468748,0.00003644849,0.000234864,0.00004978005,0.6574993,0.3371387,0.0008964768,0.000926176,0.00001801975],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8602324,0.0002180633,0.1337241,0.00007606328,0.00001269034,0.00001075801,0.00005651561,0.000366944,0.005302497],"genre_scores_gemma":[0.9794213,0.0001280345,0.01953026,0.00001074854,0.000004352565,0.00001220426,0.00003715064,0.00002224957,0.0008337088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000547699,"threshold_uncertainty_score":0.001966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05092269856876745,"score_gpt":0.2420738035650931,"score_spread":0.1911511049963257,"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."}}