{"id":"W2124044732","doi":"10.1109/glocom.1998.775768","title":"An ATM scheduler supporting all adaptation alternatives for real-time services","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Jitter; Computer science; Queueing theory; Computer network; Asynchronous Transfer Mode; Scheduling (production processes); Multiplexing; Time-division multiplexing; Real-time computing; ATM adaptation layer; Statistical time division multiplexing; Distributed computing; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001000657,0.0003628897,0.0003980385,0.00035761,0.0007631352,0.001161841,0.001396564,0.0004392013,0.003362176],"category_scores_gemma":[0.002123485,0.0002545442,0.0002495783,0.000343097,0.0002775063,0.001055981,0.0005806396,0.0008396359,0.001087487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005722514,"about_ca_system_score_gemma":0.001293541,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565997,"about_ca_topic_score_gemma":0.001920326,"domain_scores_codex":[0.9995903,0.00006875109,0.00004601472,0.00006446543,0.0001470062,0.00008343147],"domain_scores_gemma":[0.9990008,0.0001561454,0.00009002233,0.0002328757,0.0003843021,0.0001357844],"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":[0.003931842,0.0006421641,0.008009559,0.0004338086,0.0001775792,0.001106329,0.0004354758,0.06242932,0.2119429,0.1134232,0.02399802,0.5734699],"study_design_scores_gemma":[0.0004216058,0.0004249707,0.00273753,0.00003015104,0.0001590153,0.0008155426,0.00008290885,0.8096018,0.08879922,0.0215958,0.07521239,0.000119116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.222885,0.001712878,0.7427913,0.0004560239,0.001227391,0.0003950203,0.0005749104,0.01072141,0.01923601],"genre_scores_gemma":[0.8510831,0.0002953259,0.141423,0.0001755759,0.000350306,0.00009673638,0.0004126582,0.0001616622,0.006001581],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003362176,"threshold_uncertainty_score":0.01124763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02547295102499058,"score_gpt":0.271535822539366,"score_spread":0.2460628715143754,"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."}}