{"id":"W203117388","doi":"","title":"Research on Description Logic Based Conflict Detection Methods for RB-RBAC Model","year":2006,"lang":"en","type":"article","venue":"Active Media Technology","topic":"Access Control and Trust","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Role-based access control; Computer science; Authorization; Conflict resolution; Access control; Rule of inference; Resolution (logic); Logic model; Computer security; Conflict management; Conflict analysis; Theoretical computer science; Distributed computing; Programming language","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":[0.001692106,0.0001144369,0.0002024547,0.0006746614,0.0006905,0.00003836655,0.0003363721,0.0004837306,0.00003432555],"category_scores_gemma":[0.001604001,0.0001039561,0.00006552412,0.0008318442,0.0007838837,0.0001726299,0.00003617094,0.0004474708,0.00002211788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147451,"about_ca_system_score_gemma":0.0001480069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130076,"about_ca_topic_score_gemma":0.00260606,"domain_scores_codex":[0.9982704,0.0004036353,0.0001663101,0.0003632413,0.0002749618,0.000521459],"domain_scores_gemma":[0.9979789,0.00124271,0.00008859416,0.0002133305,0.0004264198,0.00005000327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003071899,0.0001685149,0.0001975481,0.000007952428,0.00001979155,0.00000234081,0.0004451457,0.0003505274,0.02940284,0.4747972,0.0003613093,0.4939396],"study_design_scores_gemma":[0.001560934,0.0004428832,0.001330339,0.0000148181,0.00003289719,7.582554e-7,0.004374593,0.05239814,0.1249395,0.7467375,0.0678753,0.0002923347],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0741896,0.0002085092,0.8979356,0.008327961,0.0005350684,0.001130277,0.00001833278,0.0005185127,0.0171361],"genre_scores_gemma":[0.9819478,0.00002186663,0.01677108,0.0001188543,0.0002338659,0.0005603347,0.000007954506,0.00001487167,0.000323303],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9077583,"threshold_uncertainty_score":0.5310838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2066878311396251,"score_gpt":0.4866653417797998,"score_spread":0.2799775106401747,"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."}}