{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002408914,0.0009367546,0.001409589,0.00125318,0.0005080454,0.0001685797,0.00311041,0.0008859552,0.0003985478],"category_scores_gemma":[0.0001221204,0.001294938,0.0005847495,0.003760831,0.0007490695,0.0007262863,0.006042371,0.001947285,0.00004850401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000693216,"about_ca_system_score_gemma":0.0001464897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001756849,"about_ca_topic_score_gemma":0.0001842392,"domain_scores_codex":[0.9964928,0.0002725535,0.0006214733,0.001686664,0.0001715017,0.0007549758],"domain_scores_gemma":[0.9934,0.0004566045,0.0005802881,0.00480441,0.0005100298,0.0002486125],"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":[0.00004902335,0.000121865,0.03262022,0.0006292647,0.001709978,0.0001917982,0.0003124768,0.9554497,0.0007547823,0.006059856,0.000005617705,0.00209543],"study_design_scores_gemma":[0.001456538,0.00006448518,0.03884746,0.0004473607,0.002036835,0.00000472738,0.00488264,0.9295552,0.01926593,0.001400792,0.0003473029,0.001690665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6139194,0.001094338,0.3816695,0.00005872939,0.0001876251,0.0003059333,0.00005910812,0.0005434395,0.002161933],"genre_scores_gemma":[0.9503129,0.04234083,0.00610703,0.00001724954,0.00002486623,0.000007401704,0.000162985,0.00008556087,0.0009412348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3755625,"threshold_uncertainty_score":0.99895,"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."}}