{"id":"W2026457192","doi":"10.1109/glocomw.2012.6477680","title":"Performance evaluation of LTE EPC self-healing solutions","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Wireless Network Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"3rd Generation Partnership Project 2; Computer science; Overhead (engineering); Computer network; Network packet; Wireless; Bandwidth (computing); Wireless network; General partnership; Cellular network; Core (optical fiber); LTE Advanced; Self-healing; Computer architecture; Telecommunications; Telecommunications link; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009758836,0.0004710125,0.0003549654,0.0005248294,0.0003726725,0.0004316554,0.000523253,0.0005402847,0.0009337029],"category_scores_gemma":[0.002961897,0.00009000155,0.0001463805,0.0004638879,0.0002462981,0.0004837255,0.0003607552,0.0002320532,0.0001224153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007662573,"about_ca_system_score_gemma":0.0002558576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001609257,"about_ca_topic_score_gemma":0.001065635,"domain_scores_codex":[0.9994148,0.0001843092,0.00004147817,0.00005674808,0.0001867377,0.0001159724],"domain_scores_gemma":[0.9981098,0.0008429734,0.0001772812,0.0001764005,0.0006005489,0.00009299821],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003041918,0.0006010245,0.008416501,0.0002974216,0.0001623156,0.0002592476,0.0002042241,0.7842997,0.08222982,0.003015011,0.001809235,0.1156635],"study_design_scores_gemma":[0.00007976078,0.001775523,0.003470135,0.00001431772,0.00005866246,0.0001706181,0.0001280738,0.9498134,0.04319175,0.0004220241,0.0008592964,0.00001650925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835348,0.0005029693,0.01146858,0.0001145423,0.00002999743,0.00004194249,0.00006333557,0.0002747878,0.003969086],"genre_scores_gemma":[0.9971843,0.0000787399,0.002201838,0.00001831033,0.000003763193,0.00001035768,0.00006261166,0.000006965594,0.0004329988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001609257,"threshold_uncertainty_score":0.005559623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0288112395892197,"score_gpt":0.2524277855713561,"score_spread":0.2236165459821364,"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."}}