{"id":"W2902718875","doi":"10.1109/bds/hpsc/ids18.2018.00028","title":"Towards Security Monitoring for Cloud Analytic Applications","year":2018,"lang":"en","type":"article","venue":"","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Cloud computing; Computer science; Big data; Cloud computing security; Scalability; Computer security; Data security; Data science; Data mining; Database; Encryption; 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":[0.0002377549,0.00007603088,0.00008122788,0.000056463,0.0002279476,0.0001152542,0.0006690278,0.00002516365,0.00000533207],"category_scores_gemma":[0.00001088874,0.0000645938,0.00006174753,0.0003026655,0.00003316196,0.00001468374,0.0003096388,0.00004128171,0.00005922896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003124213,"about_ca_system_score_gemma":0.00001796126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002566562,"about_ca_topic_score_gemma":0.000002530912,"domain_scores_codex":[0.9992286,0.00001182967,0.0001262977,0.0002908064,0.0001344055,0.0002080482],"domain_scores_gemma":[0.99927,0.00004000866,0.00003717859,0.0004967632,0.00009359419,0.00006250427],"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":[0.000005451509,0.0001794356,0.0009808338,0.00006724767,0.00008904718,0.000001419462,0.001827878,0.0005135445,0.0001110067,0.5667551,0.01166144,0.4178076],"study_design_scores_gemma":[0.0003541438,0.0001586843,0.001267564,0.00001821555,0.00001874858,0.000003494484,0.0001333033,0.664257,0.003778438,0.04236028,0.2873595,0.0002906189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01941325,0.00002907528,0.9544236,0.0009816176,0.0004542553,0.0002682876,4.491139e-7,0.0003159713,0.02411348],"genre_scores_gemma":[0.9420737,8.562565e-7,0.05508571,0.0001344368,0.001384045,0.00005538229,3.057685e-7,0.000005061581,0.001260525],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9226604,"threshold_uncertainty_score":0.2634059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069259651333011,"score_gpt":0.2845628786773461,"score_spread":0.263870282164016,"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."}}