{"id":"W3120935988","doi":"10.1109/lcomm.2021.3050326","title":"Few-Shot Learning Based Hybrid Beamforming Under Birth-Death Process of Scattering Paths","year":2021,"lang":"en","type":"article","venue":"IEEE Communications Letters","topic":"Millimeter-Wave Propagation and Modeling","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Initialization; Computer science; Beamforming; Channel (broadcasting); Process (computing); Range (aeronautics); Algorithm; Telecommunications; Engineering","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":[0.0008314102,0.0007875819,0.0007602144,0.0002796521,0.0003485925,0.0006705323,0.001055422,0.0008093929,0.001220344],"category_scores_gemma":[0.002316917,0.0005252067,0.0005189988,0.0003966576,0.000813593,0.001287271,0.001016254,0.001234615,0.0004504167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000501052,"about_ca_system_score_gemma":0.0006950506,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938315,"about_ca_topic_score_gemma":0.002219754,"domain_scores_codex":[0.9995984,0.00009414567,0.00001764608,0.00009637661,0.0001457192,0.00004762242],"domain_scores_gemma":[0.999171,0.0004327119,0.00008186741,0.00009172581,0.000173954,0.0000488347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000134266,0.00005150052,0.0008127767,0.000119534,0.00006105989,0.00009991362,0.0001448571,0.8301606,0.0140902,0.01958515,0.001254848,0.1334853],"study_design_scores_gemma":[0.000004187953,0.00001592491,0.00004753952,0.00000244812,0.000003838779,0.00001688979,0.000004658866,0.9960793,0.001194841,0.002387634,0.0002367932,0.000005988546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004522644,0.00005311606,0.9946147,0.00004517947,0.00001492178,0.0000104629,0.00001211233,0.0001123666,0.0006145582],"genre_scores_gemma":[0.5658334,0.0003992334,0.4256577,0.0003245432,0.00008085625,0.0002217437,0.0002379718,0.0001062712,0.007138156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001938315,"threshold_uncertainty_score":0.004396975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04697769385323507,"score_gpt":0.2712964865068999,"score_spread":0.2243187926536648,"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."}}