{"id":"W2977057404","doi":"10.1109/infcomw.2019.8845149","title":"Point Estimator Log Tracker for Cloud Monitoring","year":2019,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cistel Technology (Canada); Concordia University","funders":"","keywords":"Cloud computing; Computer science; Workload; Real-time computing; Control reconfiguration; Cloud management; Distributed computing; Operating system; Embedded 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002558383,0.0001021126,0.0001186658,0.00005001438,0.00008512229,0.0001307189,0.0005863701,0.00003225645,0.00001500287],"category_scores_gemma":[0.00001377774,0.00008164668,0.00007595305,0.0001211566,0.000008778392,0.00002654512,0.0002748428,0.00006088572,0.0002747783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002830119,"about_ca_system_score_gemma":0.0000123811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001036576,"about_ca_topic_score_gemma":2.360599e-7,"domain_scores_codex":[0.9990848,0.00001334802,0.0001504881,0.0003256231,0.0001584034,0.0002673943],"domain_scores_gemma":[0.9992808,0.00009826251,0.00004230801,0.0004826674,0.00003535223,0.00006066409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002963687,0.0003531836,0.01462872,0.0002829806,0.00015282,0.00002225574,0.001731366,0.04706765,0.001581548,0.6159427,0.03142551,0.2867816],"study_design_scores_gemma":[0.0009320124,0.0002027977,0.004045143,0.00006437554,0.00000922595,0.00001124016,0.0001682499,0.9439909,0.003907669,0.005094014,0.04117445,0.0003998735],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4313011,0.00004423967,0.5537425,0.001531574,0.002184514,0.0003476384,2.63734e-7,0.0003914133,0.01045679],"genre_scores_gemma":[0.8746787,4.679852e-7,0.1153359,0.0001840615,0.0003127164,0.00001279101,2.656801e-7,0.000009991025,0.009465085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8969233,"threshold_uncertainty_score":0.353181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556924222642031,"score_gpt":0.2496525334401565,"score_spread":0.2340832912137362,"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."}}