{"id":"W2963830658","doi":"","title":"Elascale: autoscaling and monitoring as a service","year":2017,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cloud computing; Scalability; Provisioning; Microservices; Distributed computing; Operating system; Database","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":[0.0002051667,0.0001077035,0.0001241221,0.0000486144,0.0006709651,0.0002013495,0.0009642591,0.00007732947,0.000004346218],"category_scores_gemma":[0.00004228327,0.0001070893,0.00003947367,0.0001550527,0.00006439361,0.001109035,0.0005385829,0.0001158952,0.0001054519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004244048,"about_ca_system_score_gemma":0.00004324368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003476468,"about_ca_topic_score_gemma":0.00001539671,"domain_scores_codex":[0.999183,0.00002719303,0.00008599352,0.0004355954,0.00005692528,0.0002112896],"domain_scores_gemma":[0.9986755,0.00004726129,0.00009917809,0.0009728853,0.00008465595,0.000120506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002691196,0.00006493046,0.94182,0.0001425474,0.00005113446,0.0002110325,0.001048236,0.003070359,0.0003316846,0.04421028,0.00004849509,0.008974453],"study_design_scores_gemma":[0.001442124,0.0001112635,0.554441,0.0002314941,0.00004068215,0.00005289877,0.0002918016,0.4253358,0.002261677,0.01330043,0.001834106,0.0006567485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572906,0.00002806735,0.03986649,0.0002104841,0.0004633372,0.00007888442,4.58423e-7,0.0001693009,0.001892373],"genre_scores_gemma":[0.9986294,0.00004578946,0.0006719104,0.00004360008,0.00006936778,2.845619e-7,1.439096e-7,0.000004793403,0.0005347192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4222654,"threshold_uncertainty_score":0.5160589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0568983758280558,"score_gpt":0.1975144697643978,"score_spread":0.140616093936342,"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."}}