{"id":"W3024993002","doi":"10.1109/cloud49709.2020.00008","title":"Anomaly Detection in Cloud Components","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Anomaly detection; Anomaly (physics); Computer science; Data mining; Physics; Operating 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":[0.0002041428,0.0001912583,0.0002442244,0.0001757647,0.00006331661,0.0001970147,0.0008550044,0.0002694459,0.0000416472],"category_scores_gemma":[0.0000197266,0.0001990395,0.0001000358,0.0003935706,0.00001805878,0.0002032235,0.001756574,0.0008287035,0.0001665144],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056501,"about_ca_system_score_gemma":0.00003941049,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006495427,"about_ca_topic_score_gemma":0.0004785441,"domain_scores_codex":[0.9984217,0.0001306078,0.0003297367,0.000654193,0.0002519439,0.0002118644],"domain_scores_gemma":[0.9991975,0.0000322517,0.000125735,0.0005164578,0.00003850741,0.00008948145],"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":[0.0002920501,0.0008650825,0.001926573,0.0006834063,0.0001808101,0.0003649599,0.005130661,0.01818105,0.03080045,0.07084217,0.008233647,0.8624991],"study_design_scores_gemma":[0.0003243457,0.0001027098,0.006613741,0.00008440912,0.000004706979,0.00001306924,0.000007523384,0.9296635,0.01104292,0.04092779,0.01079482,0.0004204806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1712245,0.00009843532,0.8164745,0.001487473,0.004933783,0.0003360009,0.000001321933,0.0005036598,0.004940343],"genre_scores_gemma":[0.9944599,0.00005921904,0.004476203,0.0005068348,0.000392958,0.00002349412,0.000005232892,0.000009017866,0.00006714233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9114825,"threshold_uncertainty_score":0.8116596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03034597189821963,"score_gpt":0.2407544220857624,"score_spread":0.2104084501875427,"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."}}