{"id":"W4236373590","doi":"10.1145/511399.511358","title":"Quality of service evaluations of multicast streaming protocols","year":2002,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Scalability; Bandwidth (computing); Multicast; Computer network; Server; Quality of service; Queue; Service (business); Reliable multicast; Database; Xcast","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":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007746838,0.0001927103,0.0006036465,0.0006124557,0.0001288188,0.0000278494,0.0005956448,0.00005587524,0.00242719],"category_scores_gemma":[0.01608166,0.0001773326,0.0001596247,0.005835763,0.00005329791,0.001275911,0.0001973079,0.0001273146,0.0002291896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006905381,"about_ca_system_score_gemma":0.00003415302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000354174,"about_ca_topic_score_gemma":0.00001170255,"domain_scores_codex":[0.9966778,0.0001592526,0.00129631,0.0002965611,0.001368211,0.000201902],"domain_scores_gemma":[0.9936998,0.0004875749,0.001728476,0.001057324,0.003012104,0.00001466186],"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":[0.00002567719,0.0005166571,0.02084468,0.02275581,0.0001276042,1.86567e-7,0.00009344024,0.01242502,0.001014953,0.003986353,0.0005468435,0.9376628],"study_design_scores_gemma":[0.001871998,0.00005820889,0.03859407,0.007264051,0.001365123,9.963762e-7,0.0001057489,0.9381383,0.0006793601,0.002537125,0.008747157,0.0006378472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8691019,0.03935913,0.005316429,0.00456114,0.0003879768,0.05147787,0.0000357573,0.0003144701,0.02944534],"genre_scores_gemma":[0.9889563,0.00287717,0.003507131,0.001516645,0.0001574996,0.002820289,0.00006844522,0.00003101488,0.00006547236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.937025,"threshold_uncertainty_score":0.9984847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2117020615640567,"score_gpt":0.4209240966730657,"score_spread":0.209222035109009,"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."}}