{"id":"W4403678666","doi":"10.1109/atnt61688.2024.10719225","title":"Role of AI and Open RAN in 6G Networks: Performance Impact and Key Technologies","year":2024,"lang":"en","type":"article","venue":"","topic":"Wireless Body Area Networks","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Key (lock); Ran; Computer science; Telecommunications; Computer network; Computer security","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":[0.002028893,0.0005926012,0.0004182533,0.0007924009,0.0007912886,0.00550631,0.0007723961,0.001439957,0.001793719],"category_scores_gemma":[0.003640818,0.00019294,0.0001730603,0.001136447,0.002190894,0.008855977,0.001635307,0.002254465,0.0004019666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001353458,"about_ca_system_score_gemma":0.000775874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008886149,"about_ca_topic_score_gemma":0.000567789,"domain_scores_codex":[0.9988517,0.0003200928,0.00004188285,0.0001323204,0.000519543,0.0001345135],"domain_scores_gemma":[0.9976798,0.001219593,0.00020995,0.0002077266,0.0005272916,0.0001557212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001892772,0.0001092345,0.002778695,0.0002132879,0.00002160618,0.0001526275,0.0002862824,0.01543624,0.006214872,0.7469624,0.002636281,0.2249992],"study_design_scores_gemma":[0.00002936363,0.0005943426,0.004934998,0.000571137,0.0000508036,0.0006658626,0.001298472,0.1839177,0.01311219,0.668104,0.1265993,0.0001218908],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.1436657,0.1254649,0.3103143,0.05045141,0.002484923,0.000145008,0.0001735948,0.0006352062,0.3666651],"genre_scores_gemma":[0.9171437,0.0417275,0.03033267,0.000987018,0.002049817,0.00005506717,0.0000622086,0.00005633742,0.0075857],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00550631,"threshold_uncertainty_score":0.01072997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004788975240517342,"score_gpt":0.2227785652207116,"score_spread":0.2179895899801943,"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."}}