{"id":"W2972635937","doi":"10.1016/j.procs.2019.08.044","title":"HoBAC: toward a Higher-order Attribute-Based Access Control Model","year":2019,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Access Control and Trust","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Access control; Generalization; Role-based access control; Task (project management); Computer security; Control (management); Order (exchange); Distributed computing; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001122905,0.0002032383,0.0002955806,0.0001883202,0.0006539546,0.001032731,0.002451141,0.00009848579,0.0001529053],"category_scores_gemma":[0.000110774,0.0001767796,0.00008198048,0.001609087,0.0008061657,0.002068437,0.0002742156,0.0001915612,0.0002224582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001476723,"about_ca_system_score_gemma":0.001987963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002822914,"about_ca_topic_score_gemma":0.00005754337,"domain_scores_codex":[0.9968734,0.00005784579,0.0002557776,0.0007410854,0.001194487,0.0008773732],"domain_scores_gemma":[0.9982482,0.0001669859,0.0001519106,0.0003546714,0.0007297118,0.0003485288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002829129,0.000881871,0.5114103,0.0002746688,0.0000888506,0.00003464079,0.01043245,0.1156062,0.001095047,0.2283615,0.005411203,0.1261204],"study_design_scores_gemma":[0.00209125,0.00008976049,0.03115818,0.00003725288,0.00002053274,8.187167e-7,0.00003893311,0.9563566,0.0001635021,0.003592342,0.005917876,0.0005329357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1410789,0.0001632082,0.825587,0.01471275,0.003011525,0.001415663,0.00002000745,0.0005454032,0.01346553],"genre_scores_gemma":[0.9893037,0.000006836316,0.006191093,0.003649176,0.000462822,0.0000497562,0.000001713321,0.00001223459,0.0003226489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8482248,"threshold_uncertainty_score":0.9958652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354221011042346,"score_gpt":0.3171247855236402,"score_spread":0.2817026844194056,"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."}}