{"id":"W3012679651","doi":"10.48550/arxiv.2003.00282","title":"mmWave Doubly-Massive-MIMO Communications Enhanced with an Intelligent Reflecting Surface","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"MIMO; Surface (topology); Telecommunications; Computer science; Remote sensing; Geology; Channel (broadcasting); Mathematics; Geometry","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":[0.0002342608,0.0004646626,0.0003440669,0.0001499487,0.0002001178,0.0004184222,0.0003494351,0.000354654,0.0006859763],"category_scores_gemma":[0.0004246789,0.0001251472,0.0002532008,0.0003626292,0.0003243041,0.0004899057,0.0005406757,0.0004701766,0.0003119156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001902955,"about_ca_system_score_gemma":0.0002046872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000363101,"about_ca_topic_score_gemma":0.0007305423,"domain_scores_codex":[0.9997244,0.00008869745,0.000006806966,0.00003480013,0.0001063581,0.00003896531],"domain_scores_gemma":[0.9998031,0.00006877741,0.00003876241,0.0000400892,0.00003661795,0.00001268048],"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":[0.0004010888,0.0001034047,0.001944767,0.0002038339,0.0001005723,0.0007821355,0.0001994008,0.5897598,0.199132,0.07209438,0.002264441,0.1330141],"study_design_scores_gemma":[0.00001196463,0.0001755364,0.0004746798,0.000007216649,0.00001759094,0.0002159083,0.00003503999,0.970557,0.01917097,0.007104125,0.002214838,0.00001512602],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09049709,0.0003012962,0.8978636,0.0002365517,0.00006291262,0.00001934708,0.00006026895,0.000275917,0.01068298],"genre_scores_gemma":[0.9057689,0.0003332609,0.09006445,0.00008932078,0.00005879117,0.00002463829,0.00005828005,0.00001188466,0.003590581],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0006859763,"threshold_uncertainty_score":0.002294838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1505212299864696,"score_gpt":0.2500262710999216,"score_spread":0.09950504111345204,"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."}}