{"id":"W2168113301","doi":"10.1145/1533057.1533092","title":"Semantic context aware security policy deployment","year":2009,"lang":"en","type":"preprint","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Agence Nationale de la Recherche","keywords":"Computer science; Software deployment; Security policy; Dynamism; Computer security model; Computer security; Security service; Security information and event management; Network security policy; Context (archaeology); Security through obscurity; Security convergence; Security testing; Cloud computing security; Logical security; Granularity; Access control; Software security assurance; Security engineering; Information security; Software engineering","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":[0.00484866,0.0007818308,0.0007716891,0.0016299,0.001581747,0.004180394,0.001238849,0.001853533,0.002309762],"category_scores_gemma":[0.008308931,0.0007477297,0.001022186,0.001375557,0.001858424,0.006701393,0.004429273,0.002665277,0.001113854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845061,"about_ca_system_score_gemma":0.002019581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003532674,"about_ca_topic_score_gemma":0.003100972,"domain_scores_codex":[0.9946489,0.002326013,0.0004605773,0.0007091556,0.001369738,0.0004856558],"domain_scores_gemma":[0.9950444,0.001371099,0.0002931925,0.002032391,0.0009583489,0.0003005796],"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":[0.000423339,0.0003772832,0.00433962,0.0006629223,0.0002113041,0.001390132,0.005264584,0.03520837,0.03504287,0.6482618,0.0142765,0.2545412],"study_design_scores_gemma":[0.00009542898,0.0001350401,0.001934904,0.0003401287,0.0002096111,0.001104771,0.001919384,0.3657803,0.0483601,0.3555657,0.2244041,0.0001505291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03720525,0.001138422,0.9314429,0.00203527,0.000222228,0.0002877943,0.0002162115,0.005238359,0.02221364],"genre_scores_gemma":[0.6457186,0.001137557,0.3448717,0.0004914338,0.0001277499,0.0002026405,0.0006352243,0.0004812892,0.006333781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00484866,"threshold_uncertainty_score":0.02564245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02534935423463656,"score_gpt":0.344735764097882,"score_spread":0.3193864098632454,"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."}}