{"id":"W2917562760","doi":"10.4236/ijcns.2019.122003","title":"Analysis and Design of Different Methods to Reach Optimum Power in Butler Matrix","year":2019,"lang":"en","type":"article","venue":"International Journal of Communications Network and System Sciences","topic":"Advanced Antenna and Metasurface Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Matrix (chemical analysis); Computer science; Power (physics); Reflection coefficient; Wireless; Electronic engineering; Beam (structure); Electrical engineering; Telecommunications; Acoustics; Engineering; Optics; Physics; Materials science","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":[0.0003065016,0.0005890858,0.0002771013,0.0005203161,0.0001918111,0.0005479178,0.0004299339,0.0003755002,0.001697015],"category_scores_gemma":[0.0006717767,0.0002892701,0.0003552699,0.0006927823,0.0003296152,0.0004966626,0.0002321765,0.0002678845,0.0004774104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004681855,"about_ca_system_score_gemma":0.0002640898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003239571,"about_ca_topic_score_gemma":0.0006474167,"domain_scores_codex":[0.9997177,0.00005549861,0.00001022731,0.00004474204,0.0001452412,0.00002660677],"domain_scores_gemma":[0.9997017,0.0001211699,0.00006628621,0.00002638744,0.00007538446,0.000009061897],"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":[0.0002365993,0.0001409802,0.001341256,0.0007047338,0.000120514,0.0001854003,0.0003950046,0.2293998,0.4808119,0.07780026,0.001360274,0.2075033],"study_design_scores_gemma":[0.00008439329,0.0006053719,0.0008743107,0.00005020363,0.00007763775,0.0005496594,0.0001122823,0.7094414,0.25669,0.007013683,0.02445702,0.00004408459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05881925,0.001164164,0.9282557,0.0001201953,0.00002888024,0.00007655045,0.00003995424,0.0002543162,0.01124097],"genre_scores_gemma":[0.4071278,0.001113008,0.5867451,0.00003661979,0.00002558561,0.0001525376,0.00006150043,0.0001278966,0.004609995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001697015,"threshold_uncertainty_score":0.005677044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03275474164154978,"score_gpt":0.3515587636807181,"score_spread":0.3188040220391683,"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."}}