{"id":"W2158911093","doi":"10.1109/glocom.1997.638492","title":"Cell discarding policies supporting multiple delay and loss requirements in ATM networks","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Indian Institute of Science","keywords":"FIFO and LIFO accounting; Quality of service; Computer science; Computer network; Asynchronous Transfer Mode; Scheduling (production processes); Network calculus; Distributed computing; FIFO (computing and electronics); Mathematical optimization; Mathematics","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":[0.0002501827,0.0001229153,0.0001551599,0.00005966943,0.0001081099,0.0001468038,0.0002793861,0.00005041888,0.00002775208],"category_scores_gemma":[0.00001608903,0.0001084402,0.00003741187,0.0002402582,0.00003393421,0.0003808143,0.0001687132,0.0001123622,0.00001454705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002398921,"about_ca_system_score_gemma":0.000004966783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006521785,"about_ca_topic_score_gemma":0.0000702335,"domain_scores_codex":[0.9988214,0.00004875848,0.0002722451,0.0003002439,0.0001418156,0.0004155335],"domain_scores_gemma":[0.9994584,0.0001266581,0.00007382774,0.0002265516,0.0000193273,0.00009518575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000008406702,0.0001438462,0.4831375,0.00001613807,0.000026594,0.0001158188,0.001937594,0.03938093,0.00007043684,0.01281279,0.005137512,0.4572124],"study_design_scores_gemma":[0.0006143262,0.00002217261,0.004906154,0.00001480964,0.000003183867,0.00001023259,0.00005498946,0.9933657,0.00001791185,0.00007062501,0.0007747874,0.0001450771],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3452449,0.0008889355,0.6427807,0.001250557,0.0003145094,0.000221252,4.946811e-7,0.0002148661,0.009083782],"genre_scores_gemma":[0.995432,0.0000819726,0.003013317,0.0004072367,0.00009389638,0.00001097626,5.947449e-7,0.000006917215,0.0009530702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9539848,"threshold_uncertainty_score":0.4422061,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01773451012635958,"score_gpt":0.2312182124797199,"score_spread":0.2134837023533603,"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."}}