{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005521314,0.0006162925,0.0006374017,0.001284615,0.000298727,0.0006450462,0.0007982658,0.0005175903,0.0004722778],"category_scores_gemma":[0.00302759,0.0002661136,0.0004329081,0.001141588,0.0004074267,0.0008389697,0.000532189,0.000673263,0.000168117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008463939,"about_ca_system_score_gemma":0.0004619815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005972398,"about_ca_topic_score_gemma":0.003634296,"domain_scores_codex":[0.9993433,0.0000732542,0.00003664372,0.0002068234,0.0002364334,0.0001033756],"domain_scores_gemma":[0.9988829,0.0003704018,0.0002230239,0.000147045,0.0003154597,0.00006115692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008567219,0.0002677762,0.04775519,0.000226933,0.0002443746,0.001022197,0.000301153,0.5004255,0.1354993,0.005632157,0.002411971,0.3053567],"study_design_scores_gemma":[0.000003705451,0.00003869968,0.0042113,0.000002783057,0.00001133252,0.00008021796,0.00001286518,0.9844328,0.009842299,0.001096377,0.0002610319,0.000006554693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7247677,0.0005354332,0.2699834,0.0002589778,0.00008629348,0.00003596945,0.0002146785,0.003237463,0.0008801154],"genre_scores_gemma":[0.9815602,0.00006511257,0.01788364,0.0000209823,0.00001095922,0.000006822239,0.0001118077,0.00004314757,0.0002971824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005972398,"threshold_uncertainty_score":0.01187527,"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."}}