{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005618248,0.0006670989,0.0006728153,0.001357897,0.00038793,0.001050964,0.000977396,0.0006008699,0.001546583],"category_scores_gemma":[0.00333494,0.000264444,0.0002485287,0.001256794,0.0002056939,0.001195427,0.0008404817,0.0008564608,0.0008353633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004563903,"about_ca_system_score_gemma":0.0006673059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00208651,"about_ca_topic_score_gemma":0.0018823,"domain_scores_codex":[0.9991372,0.0001116009,0.00004396331,0.0002346876,0.0004134272,0.00005917755],"domain_scores_gemma":[0.9988366,0.0003563379,0.0001998066,0.0001705188,0.0003643084,0.00007241763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008061645,0.0003626429,0.03591436,0.0003813863,0.00008026414,0.0005071616,0.000281377,0.06774901,0.06919182,0.007128982,0.01120965,0.8063872],"study_design_scores_gemma":[0.00003858656,0.0001848957,0.009125843,0.00002833394,0.00003064676,0.0003594001,0.00006166186,0.9564797,0.0226772,0.002469008,0.008499037,0.00004569264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0233231,0.0005681833,0.9700266,0.00008331481,0.000152721,0.0001154629,0.0002849283,0.00389524,0.001550428],"genre_scores_gemma":[0.7381238,0.0006966532,0.2550872,0.0001253255,0.0002291751,0.0003208129,0.000946825,0.000207033,0.004263164],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00208651,"threshold_uncertainty_score":0.005173862,"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."}}