{"id":"W2913229755","doi":"10.1002/mop.31744","title":"Efficient integration of scalable active‐phased array antenna based on modular approach for MM‐wave applications","year":2019,"lang":"en","type":"article","venue":"Microwave and Optical Technology Letters","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"C-Com Satellite Systems (Canada); University of Waterloo","funders":"","keywords":"Splitter; Phased array; Extremely high frequency; Modular design; Antenna (radio); Waveguide; Planar; Engineering; Scalability; Insertion loss; Electrical engineering; Materials science; Electronic engineering; Optoelectronics; Optics; Computer science; Telecommunications; Physics","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":[0.00009237188,0.0003962366,0.0002006233,0.0002187014,0.00008017886,0.0003327565,0.0004759625,0.0002675935,0.00119002],"category_scores_gemma":[0.0001355388,0.0002329739,0.0002991479,0.0002085006,0.0001101911,0.0004353323,0.000420655,0.0003169562,0.0009207433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000147305,"about_ca_system_score_gemma":0.000112097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008450516,"about_ca_topic_score_gemma":0.0001960933,"domain_scores_codex":[0.9998777,0.0000119705,0.000005150633,0.00003089286,0.00004982864,0.00002451072],"domain_scores_gemma":[0.999902,0.00001137585,0.00002533172,0.00002345909,0.00002513809,0.00001257297],"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":[0.00003559951,0.00004746173,0.0004845996,0.00004271835,0.00002077434,0.00007578262,0.00001960968,0.002801355,0.9761243,0.001777956,0.0004863811,0.01808344],"study_design_scores_gemma":[0.00002296136,0.0004855274,0.001788962,0.000005952523,0.00002882409,0.00038911,0.00002890679,0.07875075,0.9037496,0.0007675803,0.01396363,0.00001812695],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5414385,0.000676879,0.440593,0.0002089463,0.0002196423,0.00007779874,0.0002078569,0.001844785,0.01473267],"genre_scores_gemma":[0.8882472,0.0002153314,0.1077794,0.00004708729,0.00003602277,0.00006217805,0.0001800769,0.00005022287,0.003382552],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00119002,"threshold_uncertainty_score":0.003980994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007574835590753827,"score_gpt":0.1961091777651832,"score_spread":0.1885343421744294,"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."}}