{"id":"W4249822786","doi":"10.1145/500213.500232","title":"Preemptive bandwidth allocation protocol for multicast, multi-streams environments","year":2001,"lang":"en","type":"article","venue":"Proceedings of the ninth ACM international conference on Multimedia - MULTIMEDIA '01","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Multicast; Computer network; Distributed computing; Bandwidth (computing); Quality of service; Bandwidth allocation; Dynamic bandwidth allocation","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":[0.0014555,0.0003394353,0.0004245967,0.000580296,0.001056064,0.0009769226,0.001359408,0.0008889061,0.001107959],"category_scores_gemma":[0.002851828,0.0001912793,0.0002419701,0.0005440818,0.0006635459,0.001589351,0.001102544,0.001373925,0.000425147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005890305,"about_ca_system_score_gemma":0.0008431841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004689769,"about_ca_topic_score_gemma":0.0006396277,"domain_scores_codex":[0.9991022,0.0003045961,0.00006632188,0.00007845213,0.000385354,0.00006312668],"domain_scores_gemma":[0.9991851,0.0003071824,0.00009784806,0.0001401875,0.0002071173,0.00006259762],"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":[0.0007244128,0.0004232827,0.001081351,0.0008718292,0.000112383,0.001027258,0.001168542,0.03264019,0.07992766,0.3278396,0.01930767,0.5348758],"study_design_scores_gemma":[0.0003606695,0.0009139034,0.001263084,0.0002093544,0.0002111893,0.002419975,0.0002855416,0.5620613,0.06268456,0.1309743,0.238476,0.0001400852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01006587,0.001994003,0.9800126,0.0004423782,0.0002956261,0.0003284088,0.00005099193,0.0007164924,0.006093596],"genre_scores_gemma":[0.4213744,0.002291963,0.5618876,0.0008588508,0.0003695705,0.001585306,0.0003481605,0.0001398044,0.01114429],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0014555,"threshold_uncertainty_score":0.007697523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06140675110961376,"score_gpt":0.3206525673007922,"score_spread":0.2592458161911785,"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."}}