{"id":"W4400237588","doi":"10.1109/noms59830.2024.10575687","title":"Evaluating Open-Source 5G SA Testbeds: Unveiling Performance Disparities in RAN Scenarios","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Rogers Communications (Canada); University of Waterloo","funders":"","keywords":"Ran; Open source; Computer science; C-RAN; Telecommunications; Computer network; Operating system; Radio access network","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":[0.003803821,0.0008021348,0.0004096055,0.0008207897,0.000492416,0.001107997,0.001246973,0.000725003,0.0007437688],"category_scores_gemma":[0.009248262,0.0002140132,0.0003353667,0.0008522515,0.0008560519,0.001715047,0.001073977,0.0007420877,0.0001899703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001001379,"about_ca_system_score_gemma":0.0005690812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002474437,"about_ca_topic_score_gemma":0.003009913,"domain_scores_codex":[0.998058,0.001001852,0.0001211378,0.0001976842,0.000407161,0.0002141543],"domain_scores_gemma":[0.9943615,0.00315673,0.0004364567,0.0009483816,0.0007905189,0.0003063734],"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":[0.001762807,0.001906626,0.03679377,0.0004681517,0.0002438364,0.0007506434,0.0008240413,0.8066886,0.05067458,0.01656636,0.003406914,0.07991365],"study_design_scores_gemma":[0.0001979606,0.002329659,0.01888527,0.00005274303,0.00007231165,0.0003053818,0.000624683,0.9330726,0.03420297,0.004916493,0.005278681,0.00006123837],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447891,0.0001431354,0.04699736,0.0001885165,0.00006925129,0.0002350589,0.0003444904,0.001016467,0.006216539],"genre_scores_gemma":[0.9767821,0.00007933543,0.02195268,0.00004325516,0.00001283355,0.00009895096,0.0005979846,0.00009556911,0.0003373559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003803821,"threshold_uncertainty_score":0.02011675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03033425591530039,"score_gpt":0.2981192404499994,"score_spread":0.267784984534699,"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."}}