{"id":"W2119991450","doi":"10.1109/mmedia.2009.27","title":"Prefetching Optimization in P2P VoD Applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Scheme (mathematics); Computer science; Cache; Peer-to-peer; Position (finance); Computer network; Video on demand; Real-time computing; Distributed computing","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":[0.0001235677,0.00006864993,0.00007184048,0.0001758168,0.0000443289,0.00008629455,0.0008485995,0.00004891512,0.000003927284],"category_scores_gemma":[0.00002405408,0.00006549139,0.00001396437,0.0009242055,0.000007611283,0.0003017721,0.000151422,0.00008703674,0.00004327507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004415286,"about_ca_system_score_gemma":0.00001662558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008396183,"about_ca_topic_score_gemma":0.00002101118,"domain_scores_codex":[0.9992952,0.00001123514,0.0001355926,0.0002572852,0.0001165038,0.0001841835],"domain_scores_gemma":[0.9993791,0.00002340577,0.00002555692,0.0005105251,0.00002800167,0.00003341613],"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":[8.337833e-7,0.00005588791,0.0002369212,0.000001144541,0.000001396587,0.000001673155,0.0001566979,0.3908843,0.000176161,0.1735073,0.001853408,0.4331243],"study_design_scores_gemma":[0.0001799945,0.00006771524,0.006480278,0.00001421091,0.00000130621,0.00000549266,0.00002300632,0.9455082,0.001238212,0.03860699,0.007634629,0.000239985],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008342619,0.0000261995,0.9725246,0.008436941,0.00002737771,0.0002395068,1.495268e-7,0.0008590129,0.0170519],"genre_scores_gemma":[0.4191102,0.000005164972,0.5799786,0.0006451859,0.00001388777,0.00003537614,0.00000106361,0.000002072726,0.0002084426],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5546239,"threshold_uncertainty_score":0.2670661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009776042106337432,"score_gpt":0.2449176335173662,"score_spread":0.2351415914110288,"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."}}