{"id":"W2159566115","doi":"10.1109/waina.2009.169","title":"Dynamic Role Assignment Using Semantic Contexts","year":2009,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Dalhousie University","funders":"National Science Council","keywords":"Role-based access control; Computer science; Access control; Set (abstract data type); Point (geometry); Control (management); Information access; Computer security; Distributed computing; Human–computer interaction; World Wide Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004225227,0.0006955251,0.0006016831,0.002035102,0.002029207,0.003408494,0.001229938,0.0007453656,0.003639518],"category_scores_gemma":[0.01003882,0.0005834603,0.0007787573,0.001213242,0.002629136,0.006885027,0.003706096,0.001306527,0.0006619586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158672,"about_ca_system_score_gemma":0.002009729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002692467,"about_ca_topic_score_gemma":0.002860376,"domain_scores_codex":[0.9941795,0.00288972,0.0003941317,0.001066059,0.0009925825,0.0004779651],"domain_scores_gemma":[0.9963043,0.001484693,0.0003505519,0.0008283217,0.0007123508,0.0003197213],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004405867,0.0001984498,0.003219252,0.0001885332,0.00005849974,0.0005732953,0.005063571,0.01918047,0.01053455,0.7239273,0.003026666,0.2335888],"study_design_scores_gemma":[0.0001137527,0.0002036338,0.001432437,0.000195246,0.0001561645,0.0006500311,0.003102625,0.1577004,0.01995223,0.7280647,0.08826669,0.0001619454],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03908958,0.0004913107,0.9439601,0.0005941963,0.0001828436,0.0002072945,0.0001049422,0.0007721342,0.01459764],"genre_scores_gemma":[0.6096781,0.0004459347,0.3847114,0.0001755005,0.00008637599,0.0002318171,0.0001891332,0.0001172865,0.00436439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004225227,"threshold_uncertainty_score":0.02234536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01353956864422613,"score_gpt":0.3201724347062443,"score_spread":0.3066328660620182,"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."}}