{"id":"W3081615953","doi":"10.1109/lwc.2020.3021026","title":"Towards High Data Rates in Dynamic Environments Using Hybrid Cell-Free Massive MIMO/Small-Cell System","year":2020,"lang":"en","type":"article","venue":"IEEE Wireless Communications Letters","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Telecommunications link; MIMO; Rician fading; Fading; Real-time computing; Computer network; Algorithm; Decoding methods","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001359741,0.0002965276,0.0003487502,0.0001350132,0.0001434685,0.00006077966,0.00296287,0.00007933256,0.000004012819],"category_scores_gemma":[0.00001430319,0.0003644499,0.00004247278,0.000326676,0.00009304415,0.00042994,0.0006989345,0.0003921608,0.00004729811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005296092,"about_ca_system_score_gemma":0.00002739769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001616112,"about_ca_topic_score_gemma":0.00004975292,"domain_scores_codex":[0.9983393,0.0001904517,0.0005755586,0.0003933204,0.0001647364,0.0003366266],"domain_scores_gemma":[0.9958699,0.0001024326,0.0001733322,0.003727723,0.00001765115,0.0001089777],"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":[0.000004656736,0.00003576094,0.00013301,0.0002376642,0.00002776507,0.00001357952,0.0003122866,0.7681998,0.2303536,0.0000188011,0.0004562603,0.0002067933],"study_design_scores_gemma":[0.0007724292,0.000007193907,0.00004773277,0.0001416392,0.0000389319,0.00000612955,0.0004202551,0.9815887,0.01627769,0.000002917274,0.0003404707,0.0003559036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2544735,0.0006951646,0.7409163,0.001953969,0.0003096763,0.0007131856,0.000409698,0.0002997912,0.0002286478],"genre_scores_gemma":[0.9531704,0.0003153897,0.04546112,0.0002322563,0.00004053994,0.00006794751,0.0005934853,0.0001099789,0.000008900998],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6986969,"threshold_uncertainty_score":0.9998807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03031741441554816,"score_gpt":0.2376359392455688,"score_spread":0.2073185248300206,"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."}}