{"id":"W2055299308","doi":"10.1002/mop.20459","title":"A quadratic‐programming approach to the synthesis of multifrequency broadside antenna arrays","year":2004,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Antenna Design and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Broadside; Microwave; Quadratic programming; Antenna (radio); Quadratic equation; Antenna array; Computer science; Engineering; Electronic engineering; Mathematics; Telecommunications; Physics; Optics; Mathematical optimization; Geometry","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":[0.0004100333,0.0005217317,0.000445792,0.0002728819,0.0002448794,0.0004487361,0.0005036691,0.0003746016,0.003951502],"category_scores_gemma":[0.0006902096,0.0004531991,0.0004931124,0.00040531,0.0002760221,0.0003982545,0.0004786989,0.0007227889,0.0009293633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002602534,"about_ca_system_score_gemma":0.0004414103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006336165,"about_ca_topic_score_gemma":0.001043527,"domain_scores_codex":[0.9997466,0.00007167591,0.000009829405,0.00003670468,0.0001105512,0.00002457315],"domain_scores_gemma":[0.9997892,0.0001001492,0.00002234572,0.00001776627,0.00005949199,0.00001115639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009099313,0.00008138824,0.0001284078,0.0002070746,0.00003462318,0.00007865703,0.0001128493,0.6878186,0.05811482,0.04144102,0.00262293,0.2092686],"study_design_scores_gemma":[0.00001738029,0.00009295809,0.00006260105,0.000008491626,0.00000719688,0.00003985827,0.00001140915,0.9800494,0.00646707,0.008700812,0.004533283,0.000009572527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002488016,0.00005382417,0.9952395,0.00003624338,0.000009448431,0.00001088484,0.00001428164,0.00008903324,0.002058867],"genre_scores_gemma":[0.1172546,0.0002316645,0.8773335,0.00005772324,0.00005189103,0.0001250196,0.0000939213,0.0001134128,0.004738169],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003951502,"threshold_uncertainty_score":0.01321906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007794259682647609,"score_gpt":0.1890496697885658,"score_spread":0.1812554101059182,"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."}}