{"id":"W4241492742","doi":"10.32920/ryerson.14645304","title":"Efficient Resource Management on Container as a Service","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; Ontario Stroke Network","funders":"","keywords":"Enforcement; Service-level agreement; Computer science; Scheme (mathematics); Container (type theory); Resource management (computing); Popularity; Resource (disambiguation); Service (business); Service level; Business; Computer network; Computer security; Quality of service; Engineering; Mathematics; Marketing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005965463,0.0003255141,0.0003652102,0.0001360894,0.0001143019,0.0003600219,0.001583237,0.0002359078,0.00008619572],"category_scores_gemma":[0.00001628701,0.0002495342,0.0001816372,0.0003941052,0.00001943738,0.00003576242,0.003694239,0.0004604401,0.0005680572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001873524,"about_ca_system_score_gemma":0.0001319234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000263944,"about_ca_topic_score_gemma":0.00001353161,"domain_scores_codex":[0.9972881,0.0001249374,0.0004007165,0.001136904,0.0006921348,0.0003571785],"domain_scores_gemma":[0.9969321,0.00007988555,0.0001373834,0.00253071,0.0001936606,0.0001262812],"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":[0.0001598027,0.002520027,0.00185624,0.01068898,0.001051926,0.001340732,0.01310217,0.7486435,0.0000343151,0.1208383,0.02490412,0.07485998],"study_design_scores_gemma":[0.00292544,0.000477849,0.0193665,0.004833352,0.00015183,0.0001374351,0.003586213,0.7890301,0.001922561,0.002150042,0.1718214,0.003597234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4915725,0.0003632827,0.1971679,0.007697024,0.003536453,0.001957781,0.000004026345,0.001572147,0.2961289],"genre_scores_gemma":[0.9688479,0.0000202769,0.01621758,0.008927642,0.0001667154,0.0002107383,0.00002470103,0.00002585665,0.0055586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4772754,"threshold_uncertainty_score":0.9999957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152272729285905,"score_gpt":0.2437819407515034,"score_spread":0.2322592134586443,"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."}}