{"id":"W2418446765","doi":"10.1109/eucap.2016.7481661","title":"Low-profile antennas with 100% aperture efficiency based on cavity-excited omega-type biansiotropic metasurfaces","year":2016,"lang":"en","type":"article","venue":"","topic":"Metamaterials and Metasurfaces Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Aperture (computer memory); Optics; Physics; Antenna (radio); Reflection (computer programming); Reflection coefficient; Excited state; Antenna aperture; Lossy compression; Acoustics; Computer science; Dipole antenna; 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":[0.0001395449,0.0003449479,0.0003172014,0.0001443779,0.0000859754,0.0004542718,0.0004274096,0.0003820997,0.0003918464],"category_scores_gemma":[0.0003190931,0.0001718474,0.0001764103,0.000192841,0.000294521,0.0003374669,0.0003889634,0.0002562932,0.0004548612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223716,"about_ca_system_score_gemma":0.0001113868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000130589,"about_ca_topic_score_gemma":0.0001748138,"domain_scores_codex":[0.9998972,0.00001461236,0.000005627653,0.00001639812,0.00004715924,0.00001891364],"domain_scores_gemma":[0.9998429,0.00003250115,0.00005058193,0.00003283043,0.00002660754,0.00001466849],"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":[0.00007180369,0.00001564583,0.0003413858,0.00005629045,0.000007144443,0.00006627413,0.0000396827,0.004099137,0.9826906,0.005662567,0.000162649,0.006786772],"study_design_scores_gemma":[0.00003678732,0.00014374,0.0009376103,0.000009821612,0.00001422255,0.0002921926,0.00002775402,0.09784668,0.8950723,0.001469661,0.004125767,0.00002346859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.849933,0.0005532232,0.1381309,0.000270488,0.0000535775,0.00002179313,0.00007435833,0.0004916193,0.01047109],"genre_scores_gemma":[0.961449,0.0001559041,0.03682951,0.00002882691,0.000009881035,0.00001919003,0.00003296601,0.00003276729,0.001442002],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004542718,"threshold_uncertainty_score":0.002339005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793569501731679,"score_gpt":0.245115212113268,"score_spread":0.2271795170959512,"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."}}