{"id":"W4317390695","doi":"10.1186/s13677-022-00387-2","title":"Deep learning approach to security enforcement in cloud workflow orchestration","year":2023,"lang":"en","type":"article","venue":"Journal of Cloud Computing Advances Systems and Applications","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Concordia University","funders":"","keywords":"Cloud computing; Computer science; Workflow; Orchestration; Cloud computing security; Anomaly detection; Computer security; Distributed computing; Data mining; Database; 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":[0.001330189,0.0001499951,0.0003055217,0.0003053668,0.0003087522,0.0002509639,0.00061648,0.00006032386,4.527185e-7],"category_scores_gemma":[0.00007862502,0.0001466268,0.00006020526,0.001617251,0.00003456562,0.0003482127,0.0002489316,0.0003733278,0.00001291572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001077023,"about_ca_system_score_gemma":0.00005293334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003719553,"about_ca_topic_score_gemma":0.0000144892,"domain_scores_codex":[0.998061,0.000140987,0.0007828968,0.0003234339,0.0003764967,0.0003151654],"domain_scores_gemma":[0.998606,0.00025652,0.0004741382,0.0003198681,0.0001695706,0.0001738864],"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":[0.000005356828,0.0001125682,0.000973213,0.0001070242,0.00001727165,0.000004073693,0.003387403,0.7957602,0.00006327467,0.1767935,0.0003012426,0.02247481],"study_design_scores_gemma":[0.0003794034,0.0001050682,0.0007391503,0.0001755706,0.000009279213,0.0001197191,0.001230631,0.9002348,0.00001572594,0.006039816,0.09072784,0.0002230498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03407952,0.001269425,0.9623085,0.0002884031,0.0004921629,0.0004852924,0.000002435922,0.0001074726,0.0009668409],"genre_scores_gemma":[0.9807692,0.0001816388,0.01812396,0.00003671341,0.0008001799,0.00004346362,0.000008922771,0.000009992315,0.00002589414],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9466897,"threshold_uncertainty_score":0.5979267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02015942445982682,"score_gpt":0.2833356406579219,"score_spread":0.2631762161980951,"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."}}