{"id":"W3126782213","doi":"10.1109/iotsms52051.2020.9340206","title":"AppArmor For Health Data Access Control: Assessing Risks and Benefits","year":2020,"lang":"en","type":"article","venue":"","topic":"Security and Verification in Computing","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Mandatory access control; Computer science; Computer security; Access control; Confidentiality; Isolation (microbiology); Linux kernel; Enforcement; Operating system; Role-based access control","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":[0.01089689,0.0006595153,0.0004739786,0.002801154,0.0008899867,0.00209858,0.001149453,0.001230443,0.004325464],"category_scores_gemma":[0.03076099,0.0003961694,0.0007444663,0.001023078,0.001464019,0.003026371,0.002755466,0.001216076,0.0005758714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002919173,"about_ca_system_score_gemma":0.002297116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489913,"about_ca_topic_score_gemma":0.002986829,"domain_scores_codex":[0.9884065,0.003898697,0.0002970658,0.000683393,0.00587273,0.0008416313],"domain_scores_gemma":[0.9659895,0.01868133,0.004370584,0.005154012,0.005157503,0.0006470093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.005486627,0.001115762,0.3707292,0.002477311,0.0006569491,0.001268933,0.002576875,0.04252273,0.02958569,0.08989253,0.01059751,0.4430897],"study_design_scores_gemma":[0.0002326706,0.009956499,0.3379943,0.001293896,0.000983672,0.005193244,0.006035021,0.4859642,0.05634798,0.05084462,0.04479267,0.000361311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8741941,0.00185554,0.07276651,0.002919696,0.0001180821,0.0009348857,0.0009723943,0.00323346,0.04300529],"genre_scores_gemma":[0.9731631,0.0001784181,0.02383624,0.0001510663,0.00002127639,0.0001071982,0.0003554253,0.00007871675,0.002108431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01089689,"threshold_uncertainty_score":0.05762893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4579843547864919,"score_gpt":0.4481778072533808,"score_spread":0.009806547533111054,"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."}}