{"id":"W2590759093","doi":"10.1049/iet-map.2016.0928","title":"Enhancing cross‐polarisation discrimination or axial ratio beamwidth of diagonally dual or circularly polarised base station antennas by using vertical parasitic elements","year":2017,"lang":"en","type":"article","venue":"IET Microwaves Antennas & Propagation","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Natural Science Foundation of China","keywords":"Beamwidth; Axial ratio; Optics; Physics; Vertical plane; Ground plane; Parasitic element; Antenna (radio); Radiator (engine cooling); Wideband; Fan-beam antenna; Acoustics; Coaxial antenna; Microstrip antenna; Electrical engineering; Telecommunications; Circular polarization; Engineering; Microstrip; Optoelectronics","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":[0.0001408286,0.00053598,0.0001672863,0.0002402311,0.00007885751,0.0004234407,0.0002957061,0.0004102754,0.001179663],"category_scores_gemma":[0.0003607589,0.0002298588,0.0001988027,0.0002852113,0.0001768205,0.0002532781,0.0002924992,0.0003015579,0.0005795029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001870677,"about_ca_system_score_gemma":0.000129841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001639907,"about_ca_topic_score_gemma":0.0002129667,"domain_scores_codex":[0.9998021,0.00003480025,0.00001007943,0.00005207403,0.00005885379,0.00004207017],"domain_scores_gemma":[0.9996107,0.00009660527,0.0001180082,0.00006443712,0.00008938047,0.00002087781],"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":[0.0002410744,0.00003010626,0.001853845,0.0000484434,0.00002185259,0.00009210362,0.00005099773,0.0027019,0.9662823,0.001190244,0.0001881279,0.02729891],"study_design_scores_gemma":[0.00003764239,0.0004841931,0.005921745,0.00002044305,0.0000510657,0.0007666912,0.00005530678,0.03244947,0.9550508,0.0002897332,0.004841201,0.0000315511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8088159,0.0002448798,0.1773137,0.0001547486,0.00006786507,0.00001769266,0.00006604894,0.0003226289,0.01299662],"genre_scores_gemma":[0.9719224,0.0001638609,0.0257989,0.00006122451,0.00001733474,0.00001789038,0.0000660799,0.00002266965,0.001929551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001179663,"threshold_uncertainty_score":0.003946364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249446128945347,"score_gpt":0.282399911911615,"score_spread":0.2574552990170803,"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."}}