{"id":"W4379383051","doi":"10.32920/23296241","title":"Anomaly Detection in Cloud Components","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Cloud computing; Anomaly detection; Computer science; Robustness (evolution); Key (lock); Real-time computing; Autoencoder; Quality of service; Distributed computing; Data mining; Computer security; Computer network; Artificial intelligence; Operating system; Deep learning","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":[0.0002339993,0.0001683765,0.0001882265,0.0003340137,0.00007367775,0.0001473527,0.000954169,0.0002350763,0.00001148857],"category_scores_gemma":[0.000009048317,0.0001757368,0.00009943216,0.0005119281,0.00002075653,0.000102322,0.001436036,0.0004564624,0.0002721245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199512,"about_ca_system_score_gemma":0.00003643755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00130903,"about_ca_topic_score_gemma":0.0004103944,"domain_scores_codex":[0.9986359,0.00004317408,0.0003254584,0.000616969,0.0001735581,0.0002049693],"domain_scores_gemma":[0.998876,0.00003478664,0.0001234574,0.0008644875,0.000045921,0.00005529178],"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":[0.00004261467,0.0013192,0.01105817,0.0005613876,0.0002009123,0.0001526143,0.001385929,0.009482957,0.03663601,0.3088071,0.01575398,0.6145991],"study_design_scores_gemma":[0.0004082364,0.0001131507,0.09656227,0.0001528846,0.00001234925,0.00002406892,0.00003416023,0.6258296,0.0554244,0.2006929,0.01952188,0.001224071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03209873,0.00001354457,0.9619015,0.0007018442,0.000734757,0.0004019485,0.000003315902,0.001836371,0.002307929],"genre_scores_gemma":[0.9752254,0.00004287876,0.02247751,0.0001041296,0.0001035524,0.0003435176,0.000008431055,0.00001737492,0.001677171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9431267,"threshold_uncertainty_score":0.7166337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04768614865766477,"score_gpt":0.2821189447216154,"score_spread":0.2344327960639506,"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."}}