{"id":"W4410742598","doi":"10.1007/978-3-031-91524-6_6","title":"AI for Cloud Security","year":2025,"lang":"en","type":"book-chapter","venue":"Progress in IS","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McGill University; MacEwan University; York University; University of Toronto","funders":"","keywords":"Cloud computing; Computer science; Computer security; 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":[0.0002985693,0.0008816062,0.0003939376,0.001369955,0.001319699,0.003738477,0.0006924094,0.001228917,0.05935469],"category_scores_gemma":[0.000900493,0.0002866649,0.0003577174,0.001667581,0.001584699,0.004313807,0.001309983,0.00363091,0.02287681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002708365,"about_ca_system_score_gemma":0.001300121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003598058,"about_ca_topic_score_gemma":0.005160044,"domain_scores_codex":[0.9996786,0.00005306741,0.000007855839,0.00004905556,0.0001770384,0.00003437811],"domain_scores_gemma":[0.9997126,0.0001233985,0.00001302005,0.00004549478,0.00007209722,0.00003337803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008541094,0.00002521154,0.00003955347,0.0001435106,0.00000500916,0.00002612775,0.0001620072,0.0007224915,0.0003894673,0.5667461,0.3154293,0.1163027],"study_design_scores_gemma":[0.000001688187,0.000004085594,0.00005910713,0.0001068734,0.000001883797,0.00005924501,0.00005292653,0.001098812,0.0001420185,0.1201204,0.8783487,0.000004359286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003812446,0.02920046,0.01281885,0.00470236,0.002543535,0.00002757626,0.00006921368,0.0002024862,0.9500543],"genre_scores_gemma":[0.01533166,0.02629482,0.00829277,0.00245925,0.002113006,0.00005216779,0.0001603686,0.0002257745,0.9450703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05935469,"threshold_uncertainty_score":0.1985613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02234341962687558,"score_gpt":0.3024621383690097,"score_spread":0.2801187187421341,"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."}}