{"id":"W1660138328","doi":"10.1007/978-0-387-35674-7_6","title":"Tariff-Based Pricing and Admission Control for DiffServ Networks","year":2003,"lang":"en","type":"book-chapter","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Tariff; Admission control; Pricing strategies; Quality of service; Architecture; Control (management); Computer science; Computer network; Differentiated services; Business; Operations research; Marketing; Engineering; Artificial intelligence","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":[0.0007686584,0.0006772494,0.000340392,0.0005129263,0.0004630425,0.001646898,0.001358674,0.0009607564,0.004862126],"category_scores_gemma":[0.001157355,0.0003561441,0.0003771736,0.001048739,0.0008973086,0.002656645,0.0007018533,0.001918451,0.001496051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526381,"about_ca_system_score_gemma":0.0008014063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676904,"about_ca_topic_score_gemma":0.001392377,"domain_scores_codex":[0.9996013,0.00006100703,0.00001428565,0.00003753942,0.000251344,0.00003453851],"domain_scores_gemma":[0.9997458,0.00009892938,0.00001159739,0.00005055344,0.00007221728,0.00002098308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005175688,0.0000740687,0.0001922259,0.00009064552,0.00001565742,0.00009216259,0.0002310394,0.03330621,0.003545171,0.6684828,0.01637732,0.277541],"study_design_scores_gemma":[0.00002631843,0.00005973073,0.0003581056,0.00009397043,0.00002304908,0.0003137626,0.00007043835,0.3034987,0.004901222,0.5066484,0.1839702,0.00003609392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01204939,0.01159432,0.8068465,0.002699682,0.0009911407,0.0001169452,0.00007528026,0.0007105444,0.1649161],"genre_scores_gemma":[0.3479826,0.01789355,0.3773224,0.001500317,0.001003245,0.0002420688,0.0002880283,0.0004249467,0.253343],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004862126,"threshold_uncertainty_score":0.01626545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01028722136651046,"score_gpt":0.2010709497649691,"score_spread":0.1907837283984586,"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."}}