{"id":"W1569002029","doi":"10.1007/978-0-387-35697-6_2","title":"Privilege Administration for the Role Graph Model","year":2003,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Access Control and Trust","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Privilege (computing); Graph; Computer science; Theoretical computer science; Object (grammar); Computer security; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004264392,0.0001321331,0.000167421,0.0002764403,0.0006024849,0.00008043358,0.0005785642,0.0003953939,0.00002312901],"category_scores_gemma":[0.0001354094,0.0001141681,0.0000430903,0.0001011715,0.0005762435,0.001146799,0.00006681174,0.0003233938,0.000008278296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005621126,"about_ca_system_score_gemma":0.0001085368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000154122,"about_ca_topic_score_gemma":0.001295986,"domain_scores_codex":[0.9991587,0.00002299681,0.0004196776,0.00009950835,0.0001476873,0.0001513821],"domain_scores_gemma":[0.9987409,0.0001983226,0.0004111941,0.0004547107,0.0001701562,0.00002470685],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009987472,0.000004013942,0.00002168903,0.000007486789,0.000004912538,1.741358e-8,0.0003941532,0.00006820357,1.045742e-7,0.7913257,0.00005014081,0.2081136],"study_design_scores_gemma":[0.000140649,0.00001264095,0.00000212872,0.0000178869,0.000008143412,5.788917e-7,0.000844315,0.001312984,0.000003695264,0.4413756,0.5562048,0.00007661519],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00001632693,0.02809878,0.02868964,0.009412752,0.0001236685,0.001294079,0.00003790357,0.0001678502,0.932159],"genre_scores_gemma":[0.6575007,0.2964768,0.008770355,0.002345168,0.0000699841,0.001657416,0.0003029832,0.00004085297,0.03283577],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8993232,"threshold_uncertainty_score":0.4655639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01145923302068212,"score_gpt":0.2896351068168517,"score_spread":0.2781758737961695,"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."}}