{"id":"W2139645510","doi":"10.1109/wescan.1993.270553","title":"Universal isochronous payload multiplexing","year":2002,"lang":"en","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Payload (computing); Multiplexing; Asynchronous Transfer Mode; Computer science; Integrated Services Digital Network; Jitter; Asynchronous communication; Broadband; Broadband networks; Computer network; Computer hardware; Telecommunications","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000045394,0.00008447016,0.00007540138,0.00008419627,0.0001029231,0.00008088124,0.0007772229,0.00005556005,0.0006864488],"category_scores_gemma":[0.0000246591,0.00007775534,0.00002818083,0.0004557753,0.00005208418,0.0004228515,0.0002930179,0.00007907602,0.0009556891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006411633,"about_ca_system_score_gemma":0.000008223319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001177907,"about_ca_topic_score_gemma":0.000004443593,"domain_scores_codex":[0.9992946,0.000016109,0.0001025548,0.0002397132,0.0001230121,0.0002240602],"domain_scores_gemma":[0.9993963,0.00003979848,0.00003669833,0.0004559244,0.00003569041,0.00003556475],"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":[5.152676e-7,0.00007295411,0.0007158089,0.000005113455,0.00001862072,0.00003712981,0.0004877184,0.002408235,0.0003655124,0.2860397,0.04544619,0.6644024],"study_design_scores_gemma":[0.000275643,0.00004433844,0.0001364543,0.000005433717,0.00000120561,0.00001290879,0.00005205196,0.9723991,0.002550615,0.001785903,0.02254371,0.0001925972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006046663,0.0002134839,0.9564317,0.001592124,0.0001451602,0.00007073729,2.809124e-7,0.001924814,0.03901696],"genre_scores_gemma":[0.8333041,0.00003664702,0.1624186,0.0001928572,0.00003214687,0.00000250099,4.584391e-7,0.000006050135,0.004006676],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9699909,"threshold_uncertainty_score":0.9998222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440484937602342,"score_gpt":0.1852531772656309,"score_spread":0.1708483278896075,"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."}}