{"id":"W4308426784","doi":"10.1145/3542929.3563499","title":"CoSpot","year":2022,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Huawei Technologies","keywords":"Virtual machine; Computer science; Server; Cloud computing; Temporal isolation among virtual machines; Distributed computing; Allocator; Residual; Revenue; Hot spot (computer programming); Operating system; Workload; Virtualization; Algorithm","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001564315,0.00002869467,0.00002984471,0.00003224328,0.0002228779,0.00003246533,0.0006126491,0.000002570031,0.0001522663],"category_scores_gemma":[0.000001696042,0.00002552607,0.0000221056,0.0002006286,0.000004178052,0.000003598282,0.001251235,0.00005318899,0.00004718015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002063412,"about_ca_system_score_gemma":0.000006426122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001284024,"about_ca_topic_score_gemma":2.554303e-7,"domain_scores_codex":[0.9995341,0.00002710707,0.00004814664,0.0001293805,0.0001649425,0.0000963541],"domain_scores_gemma":[0.9996951,0.00001461353,0.00001279762,0.000252162,0.00000441474,0.00002090894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001040387,0.00008500143,0.000246997,0.000002094651,0.00001022798,0.00003613303,0.0005047479,0.04755355,0.000032338,0.7160331,0.06876003,0.1667347],"study_design_scores_gemma":[0.0001070369,0.00005131117,0.0006170081,3.569098e-7,6.865625e-7,0.0000133526,0.00008207431,0.4380383,0.00003766031,0.002444922,0.5585304,0.00007686698],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1523475,0.00007575754,0.425806,0.009052213,0.0008840329,0.0001147418,2.534611e-7,0.0009027362,0.4108168],"genre_scores_gemma":[0.9748483,8.558668e-8,0.006451054,0.001486873,0.00001994689,0.00000679097,1.27425e-7,0.000001774843,0.01718505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8225008,"threshold_uncertainty_score":0.1714219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01030777985875954,"score_gpt":0.2052580983295874,"score_spread":0.1949503184708278,"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."}}