{"id":"W2910102566","doi":"10.1109/apusncursinrsm.2018.8608299","title":"AMC Packaged - Butler Matrix for Millimeter Wave Beamforming","year":2018,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; Wideband; Extremely high frequency; Metamaterial; Microstrip; Broadband; Bandwidth (computing); Conductor; Acoustics; Electrical engineering; Materials science; Engineering; Electronic engineering; Optoelectronics; Optics; Physics; Telecommunications","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":[0.0001300947,0.0005937169,0.0002628218,0.0003111989,0.0002020304,0.0004384801,0.0005409992,0.0004057538,0.006825125],"category_scores_gemma":[0.0002198303,0.0002030199,0.0002467254,0.0004989383,0.0001285363,0.0002877169,0.0003259603,0.0004578974,0.004751074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005043975,"about_ca_system_score_gemma":0.0002571287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005377175,"about_ca_topic_score_gemma":0.00115809,"domain_scores_codex":[0.9997843,0.00002607443,0.000005384146,0.00003600942,0.0001241927,0.0000240468],"domain_scores_gemma":[0.9998599,0.00001796096,0.0000278671,0.00002972506,0.00005316144,0.00001135529],"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":[0.0001405567,0.00005835857,0.000481365,0.0001891799,0.00003982834,0.0002707611,0.0001022112,0.009309408,0.91629,0.01018791,0.006473877,0.05645654],"study_design_scores_gemma":[0.00004641739,0.0004999462,0.001462885,0.00002515416,0.000038367,0.0008928503,0.00004004422,0.05700707,0.7533842,0.001133246,0.1854266,0.00004328128],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1172682,0.0009966062,0.7890534,0.0004480479,0.0003242235,0.0003527157,0.001260659,0.008254624,0.08204158],"genre_scores_gemma":[0.5372176,0.0005221122,0.4226068,0.0002601998,0.00007807282,0.0004142825,0.001351359,0.0009945015,0.03655511],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006825125,"threshold_uncertainty_score":0.02283227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596709673602846,"score_gpt":0.2316500391652835,"score_spread":0.2156829424292551,"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."}}