{"id":"W2050776169","doi":"10.1016/j.comnet.2006.08.017","title":"ARTP: A buffer-aware rate control protocol for media streaming","year":2006,"lang":"en","type":"article","venue":"Computer Networks","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec à Montréal","funders":"","keywords":"Computer science; Real Time Streaming Protocol; Network congestion; Network packet; Arithmetic underflow; Buffer overflow; Computer network; Packet loss; Communication source; Protocol (science); RTP Control Protocol; Real-time computing; Operating system; The Internet","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":[0.001674429,0.0008910546,0.0009383569,0.001412878,0.001025136,0.001745377,0.003211356,0.000978881,0.004014455],"category_scores_gemma":[0.005391588,0.0004503416,0.0004448618,0.0008505755,0.000720517,0.001883828,0.001865707,0.002599527,0.001252344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007198502,"about_ca_system_score_gemma":0.0009775306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001984149,"about_ca_topic_score_gemma":0.002274619,"domain_scores_codex":[0.9988632,0.0002140417,0.0000846007,0.0001566369,0.0005476946,0.0001338613],"domain_scores_gemma":[0.9981059,0.0005764183,0.0001122539,0.0004703111,0.0005486523,0.0001865714],"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":[0.002843659,0.0004650213,0.001161211,0.0006665803,0.0002445729,0.0006020572,0.0003362583,0.05594113,0.0920938,0.05392689,0.0815155,0.7102034],"study_design_scores_gemma":[0.0003001908,0.0003646337,0.0007293141,0.00006166235,0.0001708862,0.0008488416,0.00004137597,0.851859,0.07393937,0.02069652,0.05081039,0.0001777827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01687487,0.002070416,0.9322247,0.0005739491,0.001003154,0.0003699694,0.0006867754,0.03703938,0.009156719],"genre_scores_gemma":[0.5196685,0.001758368,0.4545063,0.001151953,0.000994518,0.0005893876,0.001818961,0.001973582,0.01753845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004014455,"threshold_uncertainty_score":0.0134297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01064432019923245,"score_gpt":0.2327457125811973,"score_spread":0.2221013923819648,"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."}}