{"id":"W2902157966","doi":"10.1109/lawp.2018.2872937","title":"Wideband Low Axial Ratio and High-Gain Sequentially Rotated Antenna Array","year":2018,"lang":"en","type":"article","venue":"IEEE Antennas and Wireless Propagation Letters","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Wideband; Bandwidth (computing); Antenna gain; Antenna array; Antenna noise temperature; Physics; Dipole antenna; Microstrip antenna; Antenna measurement; Antenna factor; Antenna (radio); Electrical engineering; Optics; Computer science; Engineering; 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":[0.0002123848,0.0008731801,0.0007425899,0.0003702793,0.0001392944,0.0006621415,0.0008093428,0.0008350358,0.001612052],"category_scores_gemma":[0.0005285577,0.0004462762,0.0004427955,0.0007503465,0.0002532389,0.0005468446,0.0004552733,0.0003424854,0.002315185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003739585,"about_ca_system_score_gemma":0.0002447384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001623432,"about_ca_topic_score_gemma":0.0001970839,"domain_scores_codex":[0.9991887,0.000179939,0.0000363331,0.0002338278,0.0002552627,0.0001059305],"domain_scores_gemma":[0.9993691,0.00007674245,0.0001937556,0.0001369034,0.0001800108,0.00004355867],"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":[0.0003832418,0.00008338847,0.001482251,0.0001291992,0.00007303153,0.0003314854,0.00008605159,0.01438956,0.9270757,0.002072358,0.002377252,0.05151634],"study_design_scores_gemma":[0.0001371457,0.002305136,0.008135021,0.00002584003,0.0001264056,0.00318067,0.000101094,0.1492885,0.803999,0.0008127755,0.03174191,0.0001463988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2539927,0.0004162448,0.7214108,0.0002769889,0.000228712,0.00006617921,0.0003298758,0.002867394,0.0204112],"genre_scores_gemma":[0.6976255,0.0002820639,0.2915261,0.000202749,0.0001019462,0.0001431575,0.0005513523,0.0001472415,0.009419825],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001612052,"threshold_uncertainty_score":0.005392909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00730868668223019,"score_gpt":0.1966749294110372,"score_spread":0.189366242728807,"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."}}