{"id":"W4389104915","doi":"10.1109/jsac.2023.3334610","title":"Empowering the 6G Cellular Architecture With Open RAN","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Advanced MIMO Systems Optimization","field":"Engineering","cited_by":91,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Bundesministerium für Bildung und Forschung; National Science Foundation","keywords":"Ran; Computer science; Orchestration; Cellular network; Telecommunications; Modular design; Architecture; Standardization; Pace; Data science; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003694281,0.0001514706,0.0001740423,0.0002530609,0.000399511,0.0001691002,0.001591902,0.00005817956,0.00001176662],"category_scores_gemma":[0.00008740476,0.0001089924,0.00002857466,0.001729072,0.00004881113,0.0001930423,0.0001037798,0.0009746422,0.00003259662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001508955,"about_ca_system_score_gemma":0.00005778809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001134891,"about_ca_topic_score_gemma":0.0002872031,"domain_scores_codex":[0.9989672,0.0001988948,0.0003190632,0.000106089,0.000154293,0.0002544425],"domain_scores_gemma":[0.9983097,0.0003828152,0.00009314025,0.001020671,0.0001267721,0.00006692715],"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":[0.00001734428,0.00002456166,0.0001984569,0.000005668058,0.00004286538,0.000009310957,0.001337411,0.9921264,0.003834546,0.0001711022,0.0008017598,0.001430593],"study_design_scores_gemma":[0.006179296,0.0005001634,0.008602078,0.002866633,0.0001338116,0.001200628,0.004282692,0.8711001,0.01502127,0.004469392,0.08362088,0.002023062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3107405,0.002209104,0.6292602,0.008916364,0.001516047,0.003637428,0.0000505651,0.002267604,0.04140213],"genre_scores_gemma":[0.9935188,0.0005530217,0.005480728,0.00005193603,0.00007168663,0.00008214358,0.00002503503,0.00006197014,0.0001546816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6827782,"threshold_uncertainty_score":0.444458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472272660466027,"score_gpt":0.2930426802013583,"score_spread":0.268319953596698,"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."}}