{"id":"W2625730463","doi":"","title":"A Hybrid Polarimetric Wide-Band Beam-former Architecture for 5G mm-Wave Communications","year":2016,"lang":"en","type":"article","venue":"International ITG Workshop on Smart Antennas","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Extremely high frequency; Baseband; Computer science; Electronic engineering; Beam (structure); Doppler effect; Channel (broadcasting); Optics; Physics; Telecommunications; Engineering; Bandwidth (computing)","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":[0.0002302934,0.0004672078,0.0002384987,0.0003160968,0.0002284043,0.0006193981,0.0005738616,0.0004135159,0.00224261],"category_scores_gemma":[0.0002167796,0.0001929668,0.0002334466,0.0004479743,0.0002697468,0.000567243,0.0004912536,0.0003799132,0.00124106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259932,"about_ca_system_score_gemma":0.0002057463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003574528,"about_ca_topic_score_gemma":0.0007537018,"domain_scores_codex":[0.9997669,0.00006586122,0.000009670402,0.0000493155,0.00007815591,0.00003014622],"domain_scores_gemma":[0.999842,0.00002340008,0.00003333456,0.00003558575,0.00005350115,0.00001208281],"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":[0.0005942844,0.0001384659,0.002114609,0.0001871511,0.00009819421,0.0001837232,0.0001592083,0.04089794,0.586486,0.02826115,0.004388444,0.3364908],"study_design_scores_gemma":[0.0001020966,0.00119949,0.003449895,0.00006643748,0.0001161572,0.0014182,0.00009154708,0.4593105,0.4771415,0.008610412,0.04840213,0.00009162097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04446957,0.0006616956,0.9421725,0.0002307115,0.0001187021,0.00007250278,0.0001376874,0.001063955,0.01107271],"genre_scores_gemma":[0.5969937,0.0005188141,0.3954191,0.0003615624,0.0001088651,0.00008788814,0.0002520951,0.00004136492,0.006216677],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00224261,"threshold_uncertainty_score":0.007502198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04440086096576604,"score_gpt":0.2679030005159128,"score_spread":0.2235021395501468,"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."}}