{"id":"W4255992492","doi":"10.1002/wcm.700","title":"Homonymous role in role‐based discretionary access control","year":2008,"lang":"en","type":"article","venue":"Wireless Communications and Mobile Computing","topic":"Access Control and Trust","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Role-based access control; Access control; Computer science; Computer access control; Granularity; Discretionary access control; Construct (python library); Control (management); Mechanism (biology); Flexibility (engineering); Data access; Media access control; Computer security; Computer network; Database; Telecommunications; Operating system; Artificial intelligence","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004302168,0.0001252738,0.000238517,0.0001252064,0.001789257,0.000123799,0.001037962,0.00008991994,0.00002164162],"category_scores_gemma":[0.00003729745,0.0001281944,0.00005653023,0.0003631899,0.0006083439,0.0003137488,0.0003333068,0.000258527,0.00000569622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005921512,"about_ca_system_score_gemma":0.000168793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004882789,"about_ca_topic_score_gemma":0.002287705,"domain_scores_codex":[0.9985808,0.0003810186,0.0003067652,0.000224377,0.0001937185,0.0003132864],"domain_scores_gemma":[0.9984931,0.0005771649,0.0001344356,0.0005823995,0.0001031172,0.000109766],"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":[0.00005157025,0.0007954732,0.5653217,0.00002062606,0.00004265681,0.00001823668,0.01712043,0.003711065,0.0002697115,0.03658868,0.00006827167,0.3759916],"study_design_scores_gemma":[0.003693298,0.00009816014,0.2684456,0.0001842802,0.00004050891,0.00001481801,0.01057252,0.6603783,0.00003139254,0.00207812,0.05369225,0.00077081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681001,0.005684487,0.003880945,0.0017581,0.00007038241,0.0006945336,0.00001508202,0.0001658278,0.01963051],"genre_scores_gemma":[0.9980286,0.0009604411,0.0004872258,0.0002368168,0.0000775513,0.0001218262,0.00002161279,0.00001330834,0.00005266569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6566672,"threshold_uncertainty_score":0.9995103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0261809788669912,"score_gpt":0.3204672585814088,"score_spread":0.2942862797144176,"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."}}