{"id":"W2587188045","doi":"10.1145/3022876","title":"Cocoa","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Modeling and Performance Evaluation of Computing Systems","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Cloud computing; Computer science; Resource (disambiguation); Container (type theory); Virtual machine; Knapsack problem; Resource allocation; Service (business); Shared resource; Service provider; Distributed computing; Computer security; Operating system; Business; Computer network; Engineering; Marketing; Algorithm","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":[0.002655861,0.0001368932,0.0001990414,0.0001440471,0.001170466,0.000268329,0.0009196923,0.00005497384,0.00000166221],"category_scores_gemma":[0.00005204823,0.0001257357,0.00005503062,0.00007949933,0.00004415396,0.00006309101,0.00005466935,0.0001476651,0.000007174843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004195674,"about_ca_system_score_gemma":0.00005310879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009691863,"about_ca_topic_score_gemma":0.000001615176,"domain_scores_codex":[0.9983082,0.000120519,0.0003661618,0.0003216427,0.0006960297,0.0001873785],"domain_scores_gemma":[0.9980137,0.0000797297,0.0002657203,0.001263658,0.0003225407,0.00005467147],"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":[0.000003527387,0.00002266121,0.0001130904,0.00003576061,0.00001919732,1.071813e-7,0.0004908181,0.7754071,0.000006695004,0.0001833167,0.000003775106,0.2237139],"study_design_scores_gemma":[0.0005456295,0.0001062147,0.0009793771,0.0003560515,0.00003222951,0.000007442688,0.00007786822,0.9974712,0.00006637233,0.0001987218,0.00002304927,0.0001358993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5364711,0.00008611965,0.4619836,0.0001933051,0.0004706874,0.0001524361,3.923e-7,0.00005841804,0.0005839721],"genre_scores_gemma":[0.9951934,0.00001726499,0.004596674,0.00002240178,0.00007512161,0.000009063553,4.01529e-7,0.00000807017,0.00007759262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4587223,"threshold_uncertainty_score":0.9002394,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0775013278459236,"score_gpt":0.3155710742925842,"score_spread":0.2380697464466606,"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."}}