{"id":"W3032301049","doi":"10.1109/access.2020.2998064","title":"Generalized Framework for Hybrid Analog/Digital Signal Processing in Massive and Ultra-Massive-MIMO Systems","year":2020,"lang":"en","type":"article","venue":"IEEE Access","topic":"Microwave Engineering and Waveguides","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"InterDigital (Canada); McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; MIMO; Beamforming; Electronic engineering; Precoding; Transmitter; Signal processing; Hybrid system; Digital signal processing; Computer engineering; Computer hardware; Telecommunications; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006660929,0.0002321834,0.0003237734,0.00009414037,0.00004754382,0.0004671369,0.0002337175,0.00009794914,0.000005960074],"category_scores_gemma":[0.00005976663,0.0002336526,0.00005168637,0.0002267256,0.00002832331,0.0004559528,0.00001853802,0.0002143202,0.000003977471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004365057,"about_ca_system_score_gemma":0.00002318232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009882569,"about_ca_topic_score_gemma":0.00000104944,"domain_scores_codex":[0.9989369,0.00001106294,0.0003121126,0.0002856041,0.0001148859,0.0003394581],"domain_scores_gemma":[0.999561,0.00009196207,0.00004895998,0.0001034259,0.0000480845,0.0001465312],"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":[0.00004929061,0.00002116799,0.001181396,0.001817306,0.00007911614,0.0001152556,0.000674843,0.9608763,0.01984257,0.0005947074,0.003747542,0.0110005],"study_design_scores_gemma":[0.0007605954,0.00004757018,0.0001974804,0.0003767243,0.00002516574,0.00001858354,0.0001018674,0.9744645,0.02073616,0.0006648616,0.002081041,0.0005254666],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3105173,0.001887517,0.6861854,0.0001327153,0.0003124705,0.0003604823,0.0000961999,0.0002871641,0.0002208058],"genre_scores_gemma":[0.9979913,0.00004926453,0.001255203,0.00008728548,0.0004498463,0.00006899897,0.00002183216,0.00006358877,0.0000127126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.687474,"threshold_uncertainty_score":0.9528075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02433280346964421,"score_gpt":0.2565511190946612,"score_spread":0.232218315625017,"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."}}