{"id":"W1986383282","doi":"10.1016/j.aeue.2010.07.002","title":"Dynamic end-to-end QoS support for video over the Internet","year":2011,"lang":"en","type":"article","venue":"AEU - International Journal of Electronics and Communications","topic":"Network Traffic and Congestion Control","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Quality of service; Computer science; Computer network; Mobile QoS; End-to-end delay; The Internet; Network packet; Scheduling (production processes); End-to-end principle; Packet loss; Real-time computing; Service provider; Service (business)","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":[0.0004320522,0.0003835429,0.0002857415,0.000458881,0.0005958566,0.000957163,0.0006974818,0.0004247504,0.002098431],"category_scores_gemma":[0.002026257,0.0001605982,0.000097966,0.0002970919,0.0002406234,0.001102858,0.0006516789,0.001017558,0.0003977212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003924037,"about_ca_system_score_gemma":0.0003230294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136282,"about_ca_topic_score_gemma":0.002699929,"domain_scores_codex":[0.9997602,0.00003643955,0.00001365901,0.00003778389,0.00008854807,0.00006334241],"domain_scores_gemma":[0.9990767,0.0002583836,0.00006183991,0.000160695,0.0003425924,0.00009968229],"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":[0.002995863,0.001027291,0.006437029,0.00018397,0.00006434682,0.0009592545,0.0005189344,0.08568174,0.3915051,0.0237796,0.01474459,0.4721022],"study_design_scores_gemma":[0.00007895395,0.0002842614,0.00385762,0.00002246266,0.00004480049,0.0003405566,0.000194976,0.9184036,0.05599353,0.01108325,0.009649338,0.00004664196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5595273,0.001757081,0.4086847,0.001526726,0.0003150089,0.0001463282,0.0005022648,0.004359489,0.02318111],"genre_scores_gemma":[0.9830371,0.0001556275,0.0141899,0.0000988545,0.00008392769,0.00001517413,0.0002226657,0.00005857533,0.002138214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002098431,"threshold_uncertainty_score":0.007019997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920538516192338,"score_gpt":0.2770237300726426,"score_spread":0.2578183449107193,"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."}}