{"id":"W3091125665","doi":"10.1109/mnet.011.2000502","title":"Advances in CRAN Performance Optimization","year":2020,"lang":"en","type":"article","venue":"IEEE Network","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Cellular network; Distributed computing; Cloud computing; Baseband; Architecture; Radio access network; Statistical time division multiplexing; Computer network; Multiplexing; Telecommunications; Base station; Bandwidth (computing)","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":[],"consensus_categories":[],"category_scores_codex":[0.00004227345,0.0001019148,0.0001268178,0.00002311367,0.0000276661,0.00001102799,0.00007907108,0.00004977645,0.00001178468],"category_scores_gemma":[0.000007636073,0.0001142114,0.00001552628,0.0004077999,0.00000930121,0.0004159674,0.000005946925,0.0001006421,0.00002811641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003698375,"about_ca_system_score_gemma":0.000004634706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.927668e-7,"about_ca_topic_score_gemma":0.000005622101,"domain_scores_codex":[0.9994088,0.00001252744,0.000192438,0.0001244625,0.00006331636,0.0001984843],"domain_scores_gemma":[0.9998035,0.0000175544,0.00002625664,0.00008593529,0.00001597625,0.00005081058],"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":[0.000009614543,0.000001817855,0.0007615558,0.00005183593,0.000001621406,0.000001264317,0.000110737,0.9960397,0.00002185482,0.000007836908,0.00078579,0.002206403],"study_design_scores_gemma":[0.0001989761,0.00001767241,0.0000693078,0.00005468112,0.000002017759,8.967268e-7,0.00001034702,0.9941812,0.0001123494,0.0000173347,0.005209435,0.0001258351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002692571,0.002309559,0.9755397,0.00005303725,0.002231972,0.0002487503,0.000001297282,0.0005060909,0.01641698],"genre_scores_gemma":[0.9805872,0.002014288,0.01524301,0.0001108475,0.001945564,0.00002872731,0.00001058081,0.00004373127,0.00001605988],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9778946,"threshold_uncertainty_score":0.4657405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008395082607107652,"score_gpt":0.2038392344728151,"score_spread":0.1954441518657075,"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."}}