{"id":"W4377023325","doi":"10.1007/s10207-023-00702-1","title":"Analysis of OSPU security effect and data assembly verification under semi-network OS architecture","year":2023,"lang":"en","type":"article","venue":"International Journal of Information Security","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Computer security model; Security service; Data security; Distributed System Security Architecture; Security testing; Computer security; Enterprise information security architecture; Cloud computing security; Security information and event management; Information security; Operating system; Encryption; Cloud computing","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":[0.002706871,0.0001418221,0.0003223754,0.0009225724,0.0001009905,0.0002989153,0.001996261,0.0001025364,0.00001546898],"category_scores_gemma":[0.0004463075,0.0001304974,0.0001416582,0.001657844,0.00005888732,0.002607116,0.0005696106,0.0003180349,0.00001291032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006741631,"about_ca_system_score_gemma":0.0001103193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000261753,"about_ca_topic_score_gemma":0.00001050438,"domain_scores_codex":[0.9975135,0.0001864791,0.0009863548,0.0001919898,0.0009472001,0.0001744313],"domain_scores_gemma":[0.9966222,0.0006146848,0.001238741,0.0005780754,0.0008510827,0.00009523966],"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":[0.0006878084,0.000429339,0.05125553,0.0004560535,0.01041514,0.00004624738,0.05236921,0.3140113,0.0008096796,0.3655188,0.02593055,0.1780703],"study_design_scores_gemma":[0.0008400105,0.0001122537,0.07108193,0.0001065801,0.0002008759,0.00008618097,0.0002582635,0.9037547,0.0006467183,0.01204401,0.01063023,0.000238265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4391792,0.0001221032,0.5560527,0.002408675,0.001372531,0.0001608529,0.00009401474,0.00009341892,0.0005164813],"genre_scores_gemma":[0.9967517,0.0001427414,0.002403778,0.0002775946,0.0001927907,0.000002054655,0.0002233474,0.000003868887,0.000002175641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5897433,"threshold_uncertainty_score":0.5321528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185723678339966,"score_gpt":0.3108662369331934,"score_spread":0.2922938690991967,"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."}}