{"id":"W4387850646","doi":"10.1007/978-3-031-43033-6_25","title":"Blind Auditing and Probabilistic Access Controls","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Cloud Data Security Solutions","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Audit; Computer science; Information security audit; Audit trail; Identifier; Overhead (engineering); Probabilistic logic; Access control; Control (management); Computer security; Accounting; Information security; Artificial intelligence; Computer network; Security service; Business","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001107806,0.000475739,0.000540105,0.0008280767,0.000426558,0.001776374,0.004323553,0.0002805985,0.00001006944],"category_scores_gemma":[0.0006887921,0.0004640032,0.00008587215,0.0009283217,0.001026295,0.001042439,0.004708593,0.0008720694,0.00006672375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268924,"about_ca_system_score_gemma":0.000539232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000416606,"about_ca_topic_score_gemma":0.0003892629,"domain_scores_codex":[0.9959369,0.00003832619,0.0005445046,0.001831906,0.0008955614,0.0007528137],"domain_scores_gemma":[0.9962128,0.001489536,0.0003050086,0.001524053,0.0002406891,0.0002278468],"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":[0.00001056757,0.0000599751,0.0001118272,0.0001844742,0.00003524513,0.0003050698,0.001253948,0.02384305,0.00008812585,0.3352769,0.0001933015,0.6386375],"study_design_scores_gemma":[0.0004124363,0.00007577958,0.0003221154,0.0003782125,0.00001150661,0.00008090123,1.140309e-7,0.5981717,0.0000365289,0.3987004,0.00124103,0.0005693797],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001585357,0.0002105498,0.9935427,0.001920888,0.001647557,0.0008362124,0.00004166358,0.0003696283,0.001272224],"genre_scores_gemma":[0.4226825,0.0003133812,0.5643207,0.006767455,0.003502809,0.0002521179,0.0001023855,0.0002652316,0.001793395],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6380681,"threshold_uncertainty_score":0.9997812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04290761564560053,"score_gpt":0.2932171557531413,"score_spread":0.2503095401075408,"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."}}