{"id":"W2019395521","doi":"10.1145/1404880.1404885","title":"Equipment allocation in video-on-demand network deployments","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Server; Computer science; Data striping; Software deployment; Video on demand; Computer network; Resource allocation; Operating system","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":[0.001701265,0.000652286,0.0008999321,0.0006578006,0.0005110416,0.0009535057,0.001531531,0.0009070116,0.001396721],"category_scores_gemma":[0.006685912,0.0007449481,0.0003096378,0.0009668786,0.0005356948,0.001409064,0.000915377,0.0004413802,0.0002143305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895178,"about_ca_system_score_gemma":0.0005669481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00446096,"about_ca_topic_score_gemma":0.004845368,"domain_scores_codex":[0.9984595,0.0007264323,0.0000560321,0.0002030108,0.0002380298,0.0003170438],"domain_scores_gemma":[0.9975111,0.001566916,0.0002700774,0.0002486429,0.0002520916,0.000151116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009672451,0.00004978975,0.001495001,0.00005260455,0.00001260244,0.0001215614,0.00005415429,0.965195,0.003521715,0.006110475,0.0007256206,0.02256477],"study_design_scores_gemma":[0.000007763402,0.00005256025,0.0008727892,0.000004681455,0.000006678075,0.00006137472,0.0000648725,0.9949456,0.001340704,0.002230234,0.0004057235,0.000007106646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4187738,0.00042192,0.5731307,0.0003514451,0.00003307253,0.0002472373,0.0002195071,0.0005652438,0.006257023],"genre_scores_gemma":[0.9453307,0.00009955519,0.05340843,0.00003189826,0.000006003946,0.00006155056,0.0001165739,0.00004826683,0.0008969834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00446096,"threshold_uncertainty_score":0.01375049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03818982590562763,"score_gpt":0.276154095623376,"score_spread":0.2379642697177483,"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."}}