{"id":"W2163087224","doi":"10.1109/aps.2011.5996917","title":"Low loss double-layer substrate integrated waveguide-hybrid branch line coupler for mm-wave antenna arrays","year":2011,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"HFSS; Extremely high frequency; Materials science; Hybrid coupler; Return loss; Antenna (radio); Center frequency; Waveguide; Solver; Substrate (aquarium); Insertion loss; Optoelectronics; Optics; Electronic engineering; Computer science; Electrical engineering; Power dividers and directional couplers; Physics; Engineering; Microstrip antenna; Band-pass filter","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":[0.000183499,0.0003778567,0.0002626294,0.0001922018,0.0001278013,0.0004546486,0.0004524704,0.0003240636,0.0008233673],"category_scores_gemma":[0.0001960181,0.0002000234,0.0002491114,0.0002756063,0.0001251584,0.0004486371,0.000174375,0.0002108841,0.0005550967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002040107,"about_ca_system_score_gemma":0.0001229275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000151197,"about_ca_topic_score_gemma":0.0005988885,"domain_scores_codex":[0.9998426,0.00003429323,0.000008924367,0.00002790201,0.00007554523,0.00001067494],"domain_scores_gemma":[0.9998275,0.00003259784,0.00006320811,0.0000284706,0.00003423377,0.00001406172],"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":[0.0001352353,0.00005624863,0.001117051,0.000188372,0.00005947331,0.000171479,0.00005703664,0.01260704,0.9540625,0.002033177,0.0008896639,0.02862263],"study_design_scores_gemma":[0.0001003068,0.001238056,0.003437947,0.00002855703,0.00008223895,0.0009444982,0.00006511844,0.1974722,0.7798848,0.0004443943,0.01625887,0.00004300152],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6855096,0.001950232,0.3004817,0.0001898083,0.00008553649,0.00006029826,0.0001902164,0.001417744,0.01011487],"genre_scores_gemma":[0.9045526,0.0004223928,0.09124964,0.00005912099,0.00003248396,0.00005239423,0.000170529,0.00008286694,0.003378052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008233673,"threshold_uncertainty_score":0.00275445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04163159992677946,"score_gpt":0.2251754406337413,"score_spread":0.1835438407069619,"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."}}