{"id":"W4399403138","doi":"10.1109/comst.2024.3410295","title":"A Survey on Beyond 5G Network Slicing for Smart Cities Applications","year":2024,"lang":"en","type":"article","venue":"IEEE Communications Surveys & Tutorials","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Slicing; Computer science; Business; Geography; Telecommunications; Architectural engineering; World Wide Web; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009019951,0.0002993696,0.000432112,0.0001939294,0.0009589538,0.0008130162,0.003202674,0.0001748732,0.00001140908],"category_scores_gemma":[0.0004181508,0.0002956565,0.0001939127,0.001553243,0.0001803638,0.0003899144,0.0003508893,0.0003485287,0.0001327289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001324307,"about_ca_system_score_gemma":0.000307237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000730715,"about_ca_topic_score_gemma":0.001388972,"domain_scores_codex":[0.9959033,0.001912517,0.0006988915,0.0006204386,0.0003169267,0.0005479124],"domain_scores_gemma":[0.9803753,0.01496361,0.0001634957,0.003978522,0.0003843012,0.0001347198],"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":[0.00002055637,0.0003180723,0.004519851,0.00008232715,0.0003520628,0.000002138289,0.001443202,0.005440419,0.0001538549,0.5400167,0.3317993,0.1158515],"study_design_scores_gemma":[0.0006572934,0.0002492147,0.02775778,0.0003270085,0.00008157342,0.000007129074,0.00003472463,0.0419707,0.0002125405,0.07161176,0.8559427,0.001147512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006706886,0.004675259,0.9803836,0.001505694,0.006903449,0.001364435,0.0003161103,0.001135054,0.00304571],"genre_scores_gemma":[0.9400884,0.001329329,0.04764373,0.0008373184,0.003783716,0.003151198,0.000837068,0.0001190159,0.00221026],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9394177,"threshold_uncertainty_score":0.9999496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07157017190551587,"score_gpt":0.3217079910640788,"score_spread":0.2501378191585629,"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."}}