{"id":"W4408521098","doi":"10.1109/giis64151.2025.10921752","title":"Open RAN Slicing with Quantum Optimization","year":2025,"lang":"en","type":"article","venue":"","topic":"Quantum-Dot Cellular Automata","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Ran; Slicing; Computer science; Quantum; Computer network; Physics; World Wide Web; Quantum mechanics","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":[0.0002743145,0.0001019727,0.0001356522,0.0001123154,0.0001305168,0.0006043402,0.00198704,0.00003118742,0.00006552034],"category_scores_gemma":[0.00002554734,0.00007805636,0.00001889769,0.0006963085,0.00002248758,0.0008669362,0.0009085347,0.00006736076,0.00005353686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003108277,"about_ca_system_score_gemma":0.0001340635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001715624,"about_ca_topic_score_gemma":0.00002717441,"domain_scores_codex":[0.9990875,0.00005129507,0.0001584942,0.0003573783,0.0001543362,0.0001910494],"domain_scores_gemma":[0.9990517,0.00006060818,0.00004763297,0.0007354796,0.00006208729,0.00004246243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009970866,0.00004974321,0.0002816009,0.00001643631,0.00002499251,0.00001658218,0.0002647873,0.03070137,0.0002638393,0.9620972,0.002769522,0.003503951],"study_design_scores_gemma":[0.0004698932,0.00003895632,0.0002090668,0.00004467355,0.000005570524,0.000005556791,0.00004227434,0.9934999,0.002616371,0.001759705,0.001185943,0.0001220527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002609052,0.0000262084,0.9476784,0.001797957,0.000155857,0.0002666693,1.675001e-7,0.0002834562,0.04718227],"genre_scores_gemma":[0.6714271,0.000005275081,0.3216875,0.001340216,0.00001095465,0.00001877514,0.000004791013,0.00001004519,0.005495293],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9627986,"threshold_uncertainty_score":0.5827667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01219534250611617,"score_gpt":0.2554478465402731,"score_spread":0.243252504034157,"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."}}