{"id":"W4253300747","doi":"10.32920/14639130","title":"Massive MIMO wireless networks: an overview","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Antenna Design and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"MIMO; Beamforming; Precoding; Computer science; Multi-user MIMO; 3G MIMO; Overhead (engineering); Wireless; Electronic engineering; Computer network; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008503362,0.0002999437,0.0004963628,0.00007323215,0.00003029243,0.0001726639,0.0002863735,0.0003094193,0.001134129],"category_scores_gemma":[0.000003410898,0.0002850302,0.0002798351,0.0001766654,0.00001839297,0.00008368152,0.0001965635,0.0004933567,0.00003055934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005413002,"about_ca_system_score_gemma":0.00002907274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009272506,"about_ca_topic_score_gemma":0.0001329919,"domain_scores_codex":[0.998925,0.00004818361,0.0002630982,0.0003546343,0.0001449992,0.0002640978],"domain_scores_gemma":[0.9991637,0.0000193322,0.00003881975,0.0005808172,0.00006708553,0.0001301695],"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":[0.000006280121,0.0001329398,0.0006378919,0.001614471,0.002292113,0.0004904434,0.0005977784,0.9474714,0.003058645,0.003124858,0.006083746,0.03448937],"study_design_scores_gemma":[0.00005548187,0.000004494198,0.0001772119,0.0002417234,0.0001258872,0.000001957306,0.0002714903,0.9982217,0.00006276438,0.0001086963,0.0003475865,0.0003810313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01573244,0.02538914,0.9522941,0.00008490309,0.0008653598,0.0001659051,0.00001155057,0.0008757242,0.00458085],"genre_scores_gemma":[0.9788501,0.01672301,0.00214237,0.0002075198,0.0004116765,0.00003235838,0.0002909181,0.00008061033,0.001261477],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9631176,"threshold_uncertainty_score":0.9999602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03152884575470555,"score_gpt":0.2528703195462905,"score_spread":0.221341473791585,"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."}}