{"id":"W4377246824","doi":"10.1016/j.aeue.2023.154736","title":"A Fabry–Perot antenna using a frequency selective surface layer with wideband and Low RCS for Mm-wave applications","year":2023,"lang":"en","type":"article","venue":"AEU - International Journal of Electronics and Communications","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Fabry–Pérot interferometer; Optics; Antenna factor; Materials science; Antenna gain; Bandwidth (computing); Antenna measurement; Wideband; Antenna (radio); Center frequency; Acoustics; Optoelectronics; Physics; Electrical engineering; Telecommunications; Engineering; Wavelength; Band-pass filter","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001633271,0.0001189303,0.000168911,0.0001402018,0.0001547508,0.00005334002,0.0003488172,0.00005286272,0.000001275617],"category_scores_gemma":[0.00003962847,0.0001037986,0.00004305801,0.0002531104,0.0001115196,0.0002169963,0.00007356038,0.000274276,7.161516e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008883495,"about_ca_system_score_gemma":0.00007689506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006882246,"about_ca_topic_score_gemma":0.00005080231,"domain_scores_codex":[0.99932,0.00001539597,0.0002487056,0.00009929857,0.0001274957,0.0001890809],"domain_scores_gemma":[0.9989987,0.0001692498,0.0001283859,0.0002370163,0.0004218848,0.00004475637],"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":[0.000250657,0.0003866527,0.005094169,0.0001431399,0.003776416,0.00002486348,0.002326656,0.02995421,0.6611259,0.1799795,0.000575194,0.1163626],"study_design_scores_gemma":[0.003515716,0.0008311019,0.001502133,0.0004761713,0.0004046986,0.001184765,0.002600644,0.8265129,0.01179073,0.1211343,0.02906761,0.0009792915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5324647,0.0108387,0.4531494,0.00249812,0.00008383972,0.0004770838,0.00005726939,0.0001859583,0.0002449648],"genre_scores_gemma":[0.963644,0.01287394,0.02332608,0.00003693626,0.00002180235,0.00003048515,0.0000148736,0.00002290047,0.00002901717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7965587,"threshold_uncertainty_score":0.4232785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03276194909329373,"score_gpt":0.2888492698486647,"score_spread":0.256087320755371,"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."}}