{"id":"W4287184432","doi":"10.48550/arxiv.2105.02986","title":"RIS-Aided Cell-Free Massive MIMO: Performance Analysis and\\n Competitiveness","year":2021,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Wireless Communication Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Telecommunications link; Beamforming; MIMO; Computer science; Channel (broadcasting); Channel state information; Software deployment; Throughput; Transmission (telecommunications); Imperfect; Data transmission; Real-time computing; Computer engineering; Computer network; Telecommunications; Wireless","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":[0.0008222273,0.001033458,0.0006883315,0.0003067945,0.0003947316,0.0009639881,0.0006779333,0.0008708026,0.001711555],"category_scores_gemma":[0.002403474,0.0002686613,0.0004068024,0.0004975681,0.001002494,0.0006932499,0.001086436,0.0006154431,0.0004584449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008509353,"about_ca_system_score_gemma":0.0007429523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002255837,"about_ca_topic_score_gemma":0.002191523,"domain_scores_codex":[0.9992933,0.0001980913,0.0000129016,0.00006709321,0.0002697186,0.0001589169],"domain_scores_gemma":[0.9984945,0.0008481792,0.0001956001,0.000136578,0.0002682317,0.00005703809],"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":[0.00008259233,0.00003348415,0.0006184587,0.00007818834,0.00003140105,0.0001333297,0.00003750419,0.9743345,0.007532003,0.01029539,0.0004645532,0.006358623],"study_design_scores_gemma":[0.000003531843,0.00005577331,0.0002087441,0.000004981171,0.000008384499,0.00004938923,0.00001658825,0.9967601,0.001724402,0.0009921938,0.0001682039,0.000007681936],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2885146,0.00229794,0.6595227,0.0006504486,0.000160606,0.0001026922,0.0002442384,0.0006300322,0.04787661],"genre_scores_gemma":[0.983999,0.0003895363,0.01352869,0.00006841854,0.00004820052,0.00003002023,0.00005164581,0.00001691463,0.001867598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002255837,"threshold_uncertainty_score":0.006173968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03319126264584305,"score_gpt":0.1677550595472649,"score_spread":0.1345637969014218,"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."}}