{"id":"W2085307765","doi":"10.1109/aps.2014.6905105","title":"Dual band interleaved base station phased array antenna with optimized cross-dipole and EBG/AMC structure","year":2014,"lang":"en","type":"preprint","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Frequency band; Bandwidth (computing); Dipole antenna; Phased array; Dipole; Optics; Base station; Radio spectrum; Multi-band device; Grating; Metamaterial; Antenna (radio); Physics; Materials science; Optoelectronics; Electrical engineering; Telecommunications; Engineering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001528477,0.0005018577,0.000656531,0.0002225276,0.00007955686,0.0003617504,0.0001591542,0.0002933855,0.0006736155],"category_scores_gemma":[0.0000245326,0.0003827396,0.0001240363,0.0001214957,0.0001272922,0.0001351794,0.00003004376,0.0005455862,0.00001149798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000517482,"about_ca_system_score_gemma":0.00003760309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000958634,"about_ca_topic_score_gemma":0.00007368514,"domain_scores_codex":[0.998464,0.00005713321,0.0003958052,0.0005255694,0.0002342281,0.0003232899],"domain_scores_gemma":[0.9990736,0.00006211994,0.0001163649,0.0004356862,0.0001363781,0.0001758145],"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":[0.0006573381,0.00006275762,0.001941394,0.001044224,0.001662962,0.00004727949,0.001169962,0.0541064,0.9373702,0.00006473507,0.0006585136,0.001214214],"study_design_scores_gemma":[0.005087751,0.0001523538,0.001599369,0.0004448122,0.0005967512,0.00003712403,0.0004385334,0.9495353,0.03979065,0.0004803679,0.0003097,0.001527311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2157005,0.000249772,0.7823651,0.00004494452,0.0001632746,0.0002383959,0.0001544587,0.0003291286,0.0007543748],"genre_scores_gemma":[0.9801645,0.00008617707,0.01797174,0.00007351744,0.0001525103,0.00001771996,0.0003382875,0.00008145525,0.001114109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8975796,"threshold_uncertainty_score":0.9998624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008620732600170261,"score_gpt":0.2270987686913758,"score_spread":0.2184780360912055,"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."}}