{"id":"W2070057064","doi":"10.1007/s11277-014-2248-3","title":"Ultra-Wideband $$4\\times 4$$ 4 × 4 Butler Matrix Employing Trapezoidal-Shaped Microstrip-Slot Technique","year":2014,"lang":"en","type":"article","venue":"Wireless Personal Communications","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; King Abdulaziz City for Science and Technology; King Saud University","keywords":"Microstrip; Wideband; Ground plane; Computer science; Return loss; Bandwidth (computing); Matrix (chemical analysis); Topology (electrical circuits); Acoustics; Electronic engineering; Optics; Antenna (radio); Telecommunications; Physics; Electrical engineering; Materials science; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001162779,0.0004093983,0.0002839573,0.000223888,0.0002130082,0.0004050425,0.0005066721,0.0002383371,0.002156918],"category_scores_gemma":[0.0001394274,0.0001898149,0.000222007,0.0004960832,0.0001947071,0.0004972784,0.0003842056,0.0002867289,0.001183782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002096755,"about_ca_system_score_gemma":0.0002313079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003536781,"about_ca_topic_score_gemma":0.001410066,"domain_scores_codex":[0.9998688,0.0000207935,0.000005049453,0.00003081403,0.00005436709,0.00002024989],"domain_scores_gemma":[0.9999174,0.00001584158,0.00001906713,0.00001529999,0.00002460021,0.000007783825],"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":[0.0002107206,0.00005206973,0.0005621569,0.0001211874,0.00004865752,0.0003213676,0.0001479029,0.004752994,0.9134325,0.02161345,0.001842922,0.05689398],"study_design_scores_gemma":[0.00007272217,0.0005811876,0.001174955,0.00002219005,0.00009492315,0.002740348,0.0001642598,0.119004,0.8154517,0.003260303,0.05738602,0.0000474841],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2349835,0.0008211132,0.7245177,0.0003489035,0.0002212366,0.00009502166,0.0001710067,0.001782017,0.03705955],"genre_scores_gemma":[0.7179103,0.0005007042,0.2684295,0.00008553621,0.00004179988,0.00004699871,0.0001886448,0.00007471609,0.01272177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002156918,"threshold_uncertainty_score":0.007215619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157661101250293,"score_gpt":0.2475001028888988,"score_spread":0.2317339927638696,"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."}}