{"id":"W1955239608","doi":"10.1109/icct.2000.889241","title":"A proportional differentiation service model for the future Internet differentiated services","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Differentiated services; Computer science; Differentiated service; The Internet; Service (business); Network packet; Computer network; Service model; Service delivery framework; Service design; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.00007826005,0.0001360731,0.0001068127,0.0000321771,0.0001512639,0.0002109539,0.0007297034,0.00006173107,0.0001613232],"category_scores_gemma":[0.000001640553,0.00008146118,0.00007382921,0.0001797014,0.00001056008,0.0002936154,0.00009160988,0.00008893228,0.00004371156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001542677,"about_ca_system_score_gemma":0.00001099841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007705669,"about_ca_topic_score_gemma":0.00024885,"domain_scores_codex":[0.9990665,0.00002350707,0.0002009157,0.0002806901,0.0002200066,0.0002083571],"domain_scores_gemma":[0.9992927,0.00007079269,0.0000938152,0.000309938,0.0001786947,0.00005409286],"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":[0.00005136536,0.0004145659,0.0006213736,0.0001036664,0.0002575158,0.000001174536,0.002969457,0.01865665,0.0001355766,0.4134732,0.02028852,0.543027],"study_design_scores_gemma":[0.0004906036,0.00001805716,0.001239041,0.000008393366,0.0000217238,0.000002648101,0.00002780804,0.9948756,0.0000150546,0.001363952,0.001823215,0.0001138693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01232937,0.0002862959,0.9720572,0.01401589,0.0004641327,0.0003962307,0.000003919151,0.0002602678,0.0001866637],"genre_scores_gemma":[0.9891503,0.00002827325,0.003912634,0.002598,0.000290376,0.0001482661,0.00001721247,0.000008093623,0.003846855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9768209,"threshold_uncertainty_score":0.3321891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01631831718113069,"score_gpt":0.2035770203582932,"score_spread":0.1872587031771625,"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."}}