{"id":"W2296004027","doi":"","title":"PERFORMANCE ANALYSIS OF MPLS OVER IP NETWORKS USING CISCO IP SLAs","year":2015,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Acknowledgement; Table (database); Computer science; Multiprotocol Label Switching; Computer network; World Wide Web; Database; Quality of service","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":[0.001292941,0.0004860165,0.0003054709,0.001086839,0.0003273605,0.0006964835,0.000338425,0.0002991442,0.001047547],"category_scores_gemma":[0.003551932,0.0001231318,0.0001688877,0.001006819,0.0003986305,0.0007975317,0.0003169544,0.0004121816,0.0001447717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001394522,"about_ca_system_score_gemma":0.0005066707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007348115,"about_ca_topic_score_gemma":0.002499301,"domain_scores_codex":[0.9992542,0.0001892271,0.00002708967,0.00006719444,0.000331857,0.0001304448],"domain_scores_gemma":[0.9977736,0.00123323,0.0001851804,0.0001433804,0.0005930684,0.00007157008],"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":[0.000410937,0.0001239036,0.00882172,0.00005484749,0.00003178197,0.00009564851,0.00008221304,0.9489025,0.01310073,0.006704199,0.0006789851,0.02099248],"study_design_scores_gemma":[0.000003228205,0.00008151454,0.001594033,0.00000246891,0.00000502326,0.00001332744,0.0000221265,0.994575,0.003116752,0.0004577152,0.0001243971,0.000004379194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9592053,0.0001899,0.02848074,0.0001634466,0.00001580333,0.00004981105,0.0001699287,0.0004653284,0.01125981],"genre_scores_gemma":[0.9981714,0.00003656157,0.001437764,0.000006775386,0.000002745132,0.000009575871,0.0000435369,0.00001148516,0.000280068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007348115,"threshold_uncertainty_score":0.01461071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101564621199877,"score_gpt":0.2140600731884664,"score_spread":0.1930444269764676,"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."}}