{"id":"W2340015982","doi":"10.1109/tcpmt.2016.2548498","title":"Systematic Design Technique for Dual-Band Branch-Line Coupler Using T- and Pi-Networks and Their Application in Novel Wideband-Ratio Crossover","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Components Packaging and Manufacturing Technology","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Crossover; Multi-band device; Wideband; Network topology; Topology (electrical circuits); Power (physics); Computer science; Line (geometry); Electronic engineering; Physics; Electrical engineering; Telecommunications; Mathematics; Engineering; Computer network; Antenna (radio); Artificial intelligence","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":[0.0004480009,0.0005643893,0.0003628325,0.0005217668,0.0003126191,0.0006770794,0.000686434,0.0005184861,0.001395416],"category_scores_gemma":[0.0004841759,0.0003252674,0.0005997259,0.0004209671,0.0003057903,0.0007664933,0.0003006711,0.0005908427,0.0005290807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004014491,"about_ca_system_score_gemma":0.000371082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002074309,"about_ca_topic_score_gemma":0.0003013076,"domain_scores_codex":[0.9996698,0.00008131659,0.00001776749,0.00008495015,0.0001253096,0.00002080023],"domain_scores_gemma":[0.9997695,0.00004682175,0.00007987612,0.0000335739,0.00005977295,0.00001043915],"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":[0.0002056902,0.0001369351,0.00124329,0.0007245974,0.0001447787,0.0004200098,0.0004280151,0.05508877,0.6674398,0.08980352,0.001270787,0.1830938],"study_design_scores_gemma":[0.0001835392,0.002115942,0.002075143,0.0001697747,0.0002474654,0.003525023,0.0001788993,0.5354623,0.3853905,0.01226575,0.05827017,0.0001155691],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03306623,0.0005660471,0.9576852,0.0001073245,0.0000610399,0.0001749152,0.00002777656,0.0003569354,0.007954559],"genre_scores_gemma":[0.3574302,0.001053287,0.6374649,0.00007754021,0.00006904151,0.000282073,0.00006064845,0.0000670603,0.003495309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001395416,"threshold_uncertainty_score":0.004668117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01685371125649849,"score_gpt":0.2196839530747019,"score_spread":0.2028302418182034,"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."}}