{"id":"W2130093177","doi":"10.1109/pccc.2003.1203737","title":"Usage based service differentiation for end-to-end quality of service management","year":2003,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Differentiated service; Service (business); Service design; Service delivery framework; Service level objective; Quality of service; Service guarantee; Popularity; Service management; Service quality; Process management; Computer network; Business; Supply chain management; Supply chain; Marketing","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":[0.005995147,0.0009552649,0.001114313,0.001545013,0.001292817,0.003275563,0.002501618,0.002405902,0.003490788],"category_scores_gemma":[0.01146047,0.0004411232,0.0006180722,0.003095858,0.00208946,0.0049032,0.002032288,0.003206806,0.001814968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004048525,"about_ca_system_score_gemma":0.002296029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002299601,"about_ca_topic_score_gemma":0.002048647,"domain_scores_codex":[0.9938757,0.001994867,0.0003759589,0.0005946142,0.002699907,0.000459008],"domain_scores_gemma":[0.9946832,0.001984369,0.0004630044,0.001096172,0.001496855,0.0002763145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002614068,0.0001845765,0.001377796,0.0003107514,0.00006914394,0.0003120191,0.0004636032,0.06962357,0.009446743,0.618884,0.009762862,0.2893036],"study_design_scores_gemma":[0.00003925007,0.0001543576,0.0009537539,0.0001459707,0.0000617121,0.0004662777,0.0001649772,0.5480269,0.005927765,0.3922679,0.05171762,0.00007352499],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.007764408,0.003426896,0.9688232,0.002460397,0.0003825916,0.0002272726,0.0000598913,0.0009615068,0.01589378],"genre_scores_gemma":[0.5515033,0.004828412,0.4284025,0.00123408,0.0009329237,0.0004455994,0.0002440697,0.0003043583,0.01210478],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005995147,"threshold_uncertainty_score":0.0317058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02600349063553319,"score_gpt":0.2759983827856934,"score_spread":0.2499948921501602,"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."}}