{"id":"W2081627061","doi":"10.1109/ccece.2012.6335007","title":"A self-healing approach for LTE Evolved Packet Core","year":2012,"lang":"en","type":"article","venue":"","topic":"IPv6, Mobility, Handover, Networks, Security","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Computer network; Survivability; LTE Advanced; Network packet; Service (business); Cellular network; Core network; Wireless network; Core (optical fiber); IT service continuity; Wireless; Distributed computing; Telecommunications; Telecommunications link","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":[0.0005428272,0.0002283326,0.0002677462,0.00004803201,0.00007858364,0.00003344888,0.0001660847,0.0001790657,0.00007989918],"category_scores_gemma":[0.00002696668,0.0002167602,0.0001220738,0.0001587535,0.00002146184,0.0002530948,0.00004730622,0.0002077637,0.00002880236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001378888,"about_ca_system_score_gemma":0.00001241493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001305132,"about_ca_topic_score_gemma":0.00001433617,"domain_scores_codex":[0.9986197,0.00002066762,0.0002622647,0.0002127451,0.0001608751,0.0007237421],"domain_scores_gemma":[0.9992294,0.0001145941,0.00002912927,0.0003838479,0.00005163493,0.0001914299],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001042836,0.006925632,0.211763,0.02375999,0.003890583,0.00001169808,0.04506569,0.1880047,0.00696404,0.1156349,0.3527308,0.04420618],"study_design_scores_gemma":[0.00102989,0.0000360954,0.001029927,0.00001261614,0.00007884284,0.00000659706,0.0002161387,0.971444,0.001002435,0.0004917547,0.02418603,0.0004656926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2517195,0.004516736,0.6769455,0.00003748122,0.002983437,0.002763636,0.00006252383,0.003887774,0.05708342],"genre_scores_gemma":[0.9239475,0.00003317061,0.07457379,0.00007426702,0.0008960997,0.000166011,0.00006138875,0.00006753632,0.0001802227],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7834393,"threshold_uncertainty_score":0.8839226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696041194351094,"score_gpt":0.2401552433362298,"score_spread":0.2131948313927188,"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."}}