{"id":"W2138772603","doi":"10.1109/infcom.2011.5935196","title":"Demand forecast and performance prediction in peer-assisted on-demand streaming systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Upload; Computer science; Bandwidth (computing); Video on demand; The Internet; Server; Peer-to-peer; On demand; Channel (broadcasting); Computer network; Demand forecasting; Quality of service; Real-time computing; Multimedia; World Wide Web; Operations research","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":[0.0006002022,0.0001109308,0.0001378146,0.0001196607,0.00009282151,0.0001438117,0.0002019255,0.00005161551,0.00001392006],"category_scores_gemma":[0.00001394337,0.00009074475,0.00001781731,0.0001656943,0.00002441774,0.000783657,0.00009591528,0.00009808365,0.00001406456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004185488,"about_ca_system_score_gemma":0.00002631172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002097048,"about_ca_topic_score_gemma":0.00004316139,"domain_scores_codex":[0.9989266,0.000069234,0.0002506288,0.0002874578,0.0002563265,0.0002097847],"domain_scores_gemma":[0.9995195,0.00004503067,0.00006221818,0.0002507848,0.00005981251,0.00006265886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002019735,0.00144785,0.5067734,0.0009726816,0.0001383759,0.0001544737,0.02494907,0.0005121522,0.001033143,0.1083109,0.00426399,0.3512419],"study_design_scores_gemma":[0.0008032042,0.0006181441,0.5545014,0.0001828165,0.000007390052,0.00005357916,0.0005180957,0.4404347,0.002107864,0.0001711918,0.0003835532,0.0002180635],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7874595,0.00008274208,0.1873615,0.0001280188,0.0003062097,0.0002500642,0.000002286356,0.0001100228,0.02429964],"genre_scores_gemma":[0.9945558,0.00001772075,0.003647201,0.00007251843,0.00003112128,0.00002125583,0.000002033523,0.000004696298,0.001647689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4399225,"threshold_uncertainty_score":0.3700464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.057613082684901,"score_gpt":0.2654535549006076,"score_spread":0.2078404722157066,"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."}}