{"id":"W2032750110","doi":"10.1145/2613087.2613095","title":"A system for risk awareness during role mining","year":2014,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Process (computing); Data mining; Process mining; Risk analysis (engineering); Data science; Work in process; Engineering","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":[0.000464323,0.00004769706,0.000100314,0.00002360569,0.0007766454,0.00007963512,0.0001457129,0.00004358006,0.00002905646],"category_scores_gemma":[0.0001620834,0.00003922314,0.0000458515,0.00006398149,0.00003013789,0.0001248792,0.00001835925,0.00002428644,0.00001872811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003045446,"about_ca_system_score_gemma":0.00003204311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004159119,"about_ca_topic_score_gemma":0.00300892,"domain_scores_codex":[0.999388,0.00007163051,0.00009283482,0.0001231597,0.0001175059,0.0002068538],"domain_scores_gemma":[0.9995921,0.0001635063,0.00005550376,0.00007944371,0.00004845175,0.00006096772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008908817,0.00004722075,0.5521052,0.0001733109,0.00007942651,0.000001718791,0.01502476,0.0002198952,0.0003368025,0.3551732,0.0002838897,0.07646551],"study_design_scores_gemma":[0.01092225,0.0002335233,0.2875035,0.0003773193,0.0004018205,0.000004591212,0.2664826,0.07900952,0.006533951,0.0106164,0.3358043,0.002110207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8472916,0.00004142724,0.01355268,0.0001613512,0.0002817813,0.0001914056,0.000004340336,0.0002064507,0.138269],"genre_scores_gemma":[0.9971097,0.000002248733,0.000446855,0.0000160907,0.0004637663,0.00004431057,5.544497e-7,0.000005741472,0.001910718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3445568,"threshold_uncertainty_score":0.6287372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240380255650721,"score_gpt":0.2783727723681583,"score_spread":0.2659689698116511,"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."}}