{"id":"W2022615889","doi":"10.1016/j.comnet.2008.02.023","title":"DiffServ for differentiated reliability in meshed IP/WDM networks","year":2008,"lang":"en","type":"article","venue":"Computer Networks","topic":"Advanced Optical Network Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computer network; Quality of service; Node (physics); Reliability (semiconductor); Differentiated services; Network topology; Network element; Service (business)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001250169,0.0003517449,0.0004935599,0.00009086692,0.00009669839,0.00002708278,0.0004386406,0.0004146955,0.00001119756],"category_scores_gemma":[0.00003204511,0.0003427609,0.0001372759,0.0005004308,0.0001241555,0.0001446424,0.0001941972,0.0006208886,0.000005294037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265507,"about_ca_system_score_gemma":0.000006153938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002234988,"about_ca_topic_score_gemma":0.00001014793,"domain_scores_codex":[0.9981107,0.00002847866,0.0005014846,0.0004581898,0.0001102403,0.000790956],"domain_scores_gemma":[0.9987674,0.0004213532,0.00004635144,0.0006028251,0.00005524819,0.0001067865],"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":[0.00002466347,0.00004694596,0.003713863,0.00002165051,0.00002241535,0.0000152314,0.0000166512,0.9736934,0.000002572045,0.0004332027,0.00495999,0.01704944],"study_design_scores_gemma":[0.0006922069,0.00006048373,0.04019368,0.00006181659,0.000008933472,0.000008321063,0.000001670798,0.956373,0.000007723126,0.001049303,0.001182802,0.0003601007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1702096,0.0007967299,0.8257555,0.00005757257,0.001114285,0.0004979654,0.000002063531,0.00151565,0.00005065341],"genre_scores_gemma":[0.9312741,0.0004931941,0.06729162,0.0000935486,0.0005677399,0.0001311181,0.00004946835,0.00007701956,0.00002224926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7610644,"threshold_uncertainty_score":0.9999024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145433324751953,"score_gpt":0.2039324178673104,"score_spread":0.1924780846197909,"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."}}