{"id":"W2000323983","doi":"10.1007/s10207-011-0138-1","title":"Concrete- and abstract-based access control","year":2011,"lang":"en","type":"article","venue":"International Journal of Information Security","topic":"Access Control and Trust","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thornhill Medical (Canada); Université du Québec en Outaouais","funders":"CA Technologies","keywords":"Computer science; Role-based access control; Access control; Predicate (mathematical logic); Predicate abstraction; Theoretical computer science; Privilege (computing); Liveness; Abstraction; Cardinality (data modeling); Programming language; Control (management); Computer security; Artificial intelligence; Model checking; Database","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":[0.007851802,0.0009186849,0.001057746,0.002255652,0.001563988,0.008978149,0.002199875,0.001417233,0.00814591],"category_scores_gemma":[0.02718129,0.0007016847,0.00228643,0.001669945,0.005832908,0.01497162,0.00559469,0.003348358,0.001630449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002408959,"about_ca_system_score_gemma":0.003055006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005291946,"about_ca_topic_score_gemma":0.00323742,"domain_scores_codex":[0.9873338,0.002733544,0.001736635,0.002301911,0.004685048,0.001209037],"domain_scores_gemma":[0.9691473,0.008000457,0.002638417,0.01353161,0.005452784,0.001229423],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002239296,0.0001012926,0.00335245,0.0001735046,0.0001081511,0.0001214494,0.001426346,0.0151915,0.005020811,0.9371886,0.001453059,0.03563892],"study_design_scores_gemma":[0.00005204476,0.0001234618,0.001525527,0.00008916815,0.0001761505,0.0001822847,0.0003402242,0.1303909,0.01103478,0.8448458,0.01114064,0.00009899861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04583086,0.000262133,0.9327827,0.0007635755,0.0001112394,0.0001831543,0.0004438837,0.001975297,0.0176472],"genre_scores_gemma":[0.8659894,0.0002661562,0.1248445,0.0001744056,0.0001033423,0.0001611306,0.0006829772,0.0002433645,0.007534749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008978149,"threshold_uncertainty_score":0.04152477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02543066036074359,"score_gpt":0.3194726787613704,"score_spread":0.2940420184006268,"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."}}