{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007411308,0.0000576265,0.0001090181,0.0001686411,0.00009713528,0.0002592631,0.0004601448,0.00005735639,0.0005800129],"category_scores_gemma":[0.000356445,0.00004946008,0.00006022781,0.00005579225,0.0001214211,0.003975393,0.00002251536,0.0001393699,0.00001657347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004964339,"about_ca_system_score_gemma":0.0001866513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000597494,"about_ca_topic_score_gemma":0.00005860296,"domain_scores_codex":[0.9988737,0.00003917041,0.0004236258,0.000033123,0.0005336605,0.00009674018],"domain_scores_gemma":[0.9981301,0.0001081883,0.0005828353,0.00003846795,0.001037575,0.0001028565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003135883,0.0001616532,0.1729156,0.00005524204,0.0008440994,0.0001164223,0.09155332,0.00007561305,0.00007195809,0.6178671,0.006990334,0.1062128],"study_design_scores_gemma":[0.01567028,0.0002875682,0.5674557,0.0002117474,0.0001330386,0.00008413754,0.009439923,0.0022063,0.00127855,0.04513663,0.357391,0.0007051313],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7477637,0.000164872,0.01302095,0.006985371,0.002757699,0.0002907056,0.00008047798,0.00005319252,0.2288831],"genre_scores_gemma":[0.9982784,0.00003762031,0.0001517937,0.001311166,0.0002097393,0.000001619829,0.000002629465,0.00000175822,0.000005291029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5727304,"threshold_uncertainty_score":0.6350734,"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."}}