{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003601113,0.0007621527,0.0004959612,0.001128669,0.0002619984,0.0013372,0.000518845,0.000948897,0.002156377],"category_scores_gemma":[0.0005668165,0.0003899675,0.0002957732,0.001715479,0.0004730828,0.001632417,0.0006977957,0.001110467,0.001559917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005224626,"about_ca_system_score_gemma":0.0004674449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006451854,"about_ca_topic_score_gemma":0.0005233046,"domain_scores_codex":[0.9997228,0.00006451026,0.00002532332,0.0000474295,0.0001150592,0.0000249787],"domain_scores_gemma":[0.9996783,0.0001632835,0.00002541267,0.00002209231,0.00009104326,0.00001992851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009432941,0.0001199886,0.001363791,0.007186357,0.0001224802,0.0006026693,0.0002373425,0.03017419,0.006522997,0.1883806,0.04614167,0.7190536],"study_design_scores_gemma":[0.00001536391,0.000297882,0.002154521,0.001618327,0.00008083503,0.002592579,0.0001942293,0.03738717,0.002291036,0.1127738,0.8404938,0.0001004063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003759205,0.8069798,0.1337991,0.001825849,0.001900505,0.00008147497,0.0002894503,0.0002634442,0.05110118],"genre_scores_gemma":[0.05602035,0.8885545,0.03785811,0.001032506,0.004987324,0.0001441238,0.0003640957,0.00004411964,0.01099495],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002156377,"threshold_uncertainty_score":0.007213771,"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."}}