{"id":"W2599209812","doi":"10.1109/vtcfall.2016.7880928","title":"Carrying MTC Service in 5G - A Network Management Perspective","year":2016,"lang":"en","type":"article","venue":"","topic":"Software-Defined Networks and 5G","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Scalability; Computer science; Computer network; Service (business); Quality of service; Network service; Virtual network; Service provider; Network topology; Resource (disambiguation); Network architecture; Network management; Telecommunications; Database","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":[0.0002949023,0.0005836792,0.0002079103,0.0005882983,0.0007294262,0.002392706,0.000649849,0.001219423,0.002518089],"category_scores_gemma":[0.0004198598,0.0001363977,0.0001615121,0.0006022712,0.0008534702,0.002547734,0.0007035194,0.0006783879,0.0005009302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001543058,"about_ca_system_score_gemma":0.0008758161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005250004,"about_ca_topic_score_gemma":0.00546747,"domain_scores_codex":[0.9996437,0.00008300394,0.00001118973,0.00005598829,0.00013755,0.00006854023],"domain_scores_gemma":[0.9998565,0.00003071809,0.00002227131,0.00002169616,0.00005143929,0.00001727055],"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":[0.00005481708,0.0000424633,0.001363497,0.0001786461,0.00002582482,0.000698986,0.0002753658,0.04967769,0.01748839,0.8061271,0.009571772,0.1144954],"study_design_scores_gemma":[0.00001192436,0.0002940027,0.002612228,0.0002349085,0.0001041155,0.00208607,0.0009941099,0.4177787,0.01366768,0.2566262,0.305498,0.00009215542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1059392,0.02458371,0.5530308,0.01500558,0.001557987,0.0001599646,0.0003267363,0.000953049,0.298443],"genre_scores_gemma":[0.9154557,0.01066594,0.05793261,0.000936373,0.0007825883,0.00004998851,0.0001483165,0.00004829156,0.01398016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005250004,"threshold_uncertainty_score":0.01119572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270271542428455,"score_gpt":0.2291293061745948,"score_spread":0.2164265907503103,"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."}}