{"id":"W2129112203","doi":"10.1109/ccece.2004.1345298","title":"Implementing an IPv6 QoS management scheme using flow label & class of service fields","year":2004,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; Dalhousie University","funders":"","keywords":"Quality of service; Computer network; Computer science; Integrated services; Traffic classification; Mobile QoS; Scheduling (production processes); Resource Reservation Protocol; Router; Distributed computing; The Internet; Service provider; Service (business); Internet Protocol; Engineering","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":[0.0003004754,0.0001200852,0.0001400222,0.00006504061,0.0001303763,0.00008364239,0.0005812933,0.00004980691,0.00006568744],"category_scores_gemma":[0.000002595982,0.0001146018,0.00003772704,0.0003698957,0.00001216885,0.0003603529,0.0002857056,0.00008639663,0.00002478097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003207986,"about_ca_system_score_gemma":0.00004300862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00013718,"about_ca_topic_score_gemma":0.0005943291,"domain_scores_codex":[0.9987946,0.00002838437,0.0002734703,0.0003014969,0.00023754,0.0003645463],"domain_scores_gemma":[0.9992098,0.00002024091,0.00008716703,0.0004937059,0.0001078517,0.00008126403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001542437,0.0002968709,0.0004048253,0.00009502996,0.0001378938,0.00001688801,0.0008367826,0.04969843,0.001624059,0.3945526,0.0004194932,0.5519016],"study_design_scores_gemma":[0.001475303,0.00004297348,0.0001474379,0.00004548045,0.0000201947,0.000006845833,0.0001093086,0.9885159,0.0002658602,0.001371013,0.007783719,0.000215988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1014489,0.00003757557,0.8927608,0.001607905,0.0002451885,0.0001634276,8.859187e-7,0.0001510035,0.003584387],"genre_scores_gemma":[0.4561394,0.000005484483,0.5418736,0.001597349,0.0001096624,0.00000706355,0.00000325787,0.000006965088,0.0002571544],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9388174,"threshold_uncertainty_score":0.4673324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03472417494134825,"score_gpt":0.28067789944748,"score_spread":0.2459537245061318,"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."}}