{"id":"W2982311849","doi":"10.1109/apusncursinrsm.2019.8888493","title":"Analog Beamforming System Using Rotman Lens for 5G Applications at 28 GHz","year":2019,"lang":"en","type":"article","venue":"","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Beamforming; Lens (geology); Extremely high frequency; Planar; Monolithic microwave integrated circuit; Antenna (radio); Electronic engineering; Antenna array; Wideband; Engineering; Planar array; Computer science; Optics; Electrical engineering; 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":[0.0001325583,0.000390835,0.0001802834,0.0001684122,0.0001874655,0.0004345058,0.0003203847,0.0002748524,0.006990848],"category_scores_gemma":[0.0001301687,0.0001250173,0.0002550261,0.0001978977,0.0001153816,0.0003881671,0.0001545438,0.0001570422,0.001178951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004599879,"about_ca_system_score_gemma":0.0003408748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665085,"about_ca_topic_score_gemma":0.002868316,"domain_scores_codex":[0.9998748,0.00002632238,0.000003718866,0.00002084227,0.00005451966,0.00001986683],"domain_scores_gemma":[0.9999417,0.00001375967,0.00001047342,0.00000570911,0.00002352977,0.000004892257],"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":[0.0007494743,0.0000864186,0.006658821,0.0004884917,0.0001742002,0.00065445,0.0003306085,0.1471841,0.5604761,0.01738713,0.005272346,0.2605379],"study_design_scores_gemma":[0.0001440962,0.001265281,0.005628835,0.00006593442,0.0001812829,0.0009049126,0.0002501571,0.6225893,0.3147553,0.002663187,0.05144367,0.0001081192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1203785,0.0007050918,0.849004,0.0003270709,0.0001236238,0.0001164761,0.0002604928,0.003450296,0.02563435],"genre_scores_gemma":[0.8239675,0.0005601503,0.1600198,0.0001428551,0.00003291228,0.00009582831,0.0002961352,0.00009268011,0.01479219],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006990848,"threshold_uncertainty_score":0.02338672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303166617656675,"score_gpt":0.2082448361225133,"score_spread":0.1952131699459466,"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."}}