{"id":"W2157075219","doi":"10.1109/aps.2010.5562123","title":"High-gain low-profile antenna using artificial magnetic superstrates","year":2010,"lang":"en","type":"article","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Broadside; Materials science; Microstrip antenna; High-gain antenna; Antenna (radio); Antenna gain; Patch antenna; Microstrip; Resonator; Metamaterial; Acoustics; Optics; Optoelectronics; Coaxial antenna; Engineering; Electrical engineering; Physics","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":[0.0001736907,0.0005199601,0.0003807337,0.0002105923,0.00009469793,0.0006024931,0.0006483964,0.0005975381,0.0004324886],"category_scores_gemma":[0.0003036617,0.0002116871,0.0004021993,0.0002391085,0.0003060712,0.0005780392,0.0003346619,0.0003002282,0.0007475224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002367768,"about_ca_system_score_gemma":0.0001234006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001096866,"about_ca_topic_score_gemma":0.0002911882,"domain_scores_codex":[0.999803,0.00004129504,0.00001095848,0.00003348361,0.00008008635,0.00003119323],"domain_scores_gemma":[0.9996905,0.00005079653,0.0001155987,0.00005691937,0.00006205472,0.0000240777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001722556,0.00003881335,0.0006959505,0.0001106905,0.00006514833,0.0002792403,0.00004623746,0.006199538,0.9734441,0.004188653,0.0004220619,0.01433739],"study_design_scores_gemma":[0.00007352905,0.0008336925,0.002584396,0.00001648742,0.0001245052,0.001243182,0.00005669236,0.07817814,0.9036316,0.0009284458,0.01228734,0.00004193421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5822731,0.0006568807,0.4021942,0.0002153115,0.0001743885,0.00002841866,0.00006503236,0.001199833,0.01319302],"genre_scores_gemma":[0.9227976,0.0002405059,0.07417712,0.00005959938,0.00004082598,0.00001609419,0.00006830457,0.00005862945,0.002541308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006483964,"threshold_uncertainty_score":0.001717985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01179373604365182,"score_gpt":0.203596433935464,"score_spread":0.1918026978918122,"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."}}