{"id":"W3092599880","doi":"10.1109/iwqos49365.2020.9212876","title":"Modeling and Analyzing Live Streaming Performance","year":2020,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Novelis (Canada)","funders":"","keywords":"Computer science; Live streaming; Latency (audio); Real Time Streaming Protocol; Download; Queueing theory; Real-time computing; Streaming algorithm; Video streaming; Computer network; Server; Adaptation (eye); Multimedia; The Internet; Upper and lower bounds; Operating system; 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":[],"consensus_categories":[],"category_scores_codex":[0.00009661631,0.00005668932,0.00007219968,0.00001869757,0.00008117934,0.0001382238,0.0001879873,0.00001351222,0.000008068186],"category_scores_gemma":[0.00001082732,0.00004967504,0.00001514545,0.0001066671,0.000006936558,0.000621564,0.0001918856,0.00006324918,0.00002002494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007292965,"about_ca_system_score_gemma":0.00001879933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003858578,"about_ca_topic_score_gemma":0.000002288185,"domain_scores_codex":[0.9994702,0.00001641277,0.0001042428,0.0001942779,0.0000947189,0.0001201262],"domain_scores_gemma":[0.9997584,0.00001779201,0.00001493875,0.0001133867,0.00002500151,0.00007043723],"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":[0.000016244,0.00009004005,0.01516029,0.0003653336,0.0001024723,0.00005259201,0.04096001,0.06458613,0.005473285,0.06543355,0.0005110767,0.807249],"study_design_scores_gemma":[0.00007136704,0.00003619729,0.0001877209,0.000008602609,0.000002160654,0.000001516293,0.0002383211,0.998648,0.000596916,0.00007609493,0.00005968502,0.00007336964],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2155468,0.0000680688,0.7819135,0.001601735,0.00001546346,0.0000271786,1.333478e-7,0.00007386568,0.0007532193],"genre_scores_gemma":[0.9361956,0.00003510867,0.06252164,0.001181984,0.0000330565,0.000001159854,3.325873e-7,0.000002165921,0.00002896863],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9340619,"threshold_uncertainty_score":0.2025689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04674929377347852,"score_gpt":0.2839069710813462,"score_spread":0.2371576773078677,"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."}}