{"id":"W2100682234","doi":"10.1109/iccitechn.2010.5723883","title":"A study of privacy policy enforcement in access control models","year":2010,"lang":"en","type":"article","venue":"","topic":"Access Control and Trust","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Calgary","funders":"","keywords":"Privacy policy; Popularity; Information privacy; Internet privacy; Enforcement; Computer science; Privacy software; Privacy by Design; Computer security; Private information retrieval; Personally identifiable information; Access control; The Internet; Law enforcement; Control (management); Information leakage; World Wide Web; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.0006765329,0.00006773989,0.0001715003,0.0001427377,0.0001035443,0.00007203779,0.0005623119,0.00005138077,0.000550245],"category_scores_gemma":[0.0001695381,0.00005384067,0.00002993423,0.0003146885,0.00007310566,0.0005453332,0.00008529059,0.000116051,0.000003935367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003354339,"about_ca_system_score_gemma":0.0002689523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1402937,"about_ca_topic_score_gemma":0.09979533,"domain_scores_codex":[0.9988931,0.00009155144,0.0002290349,0.0001426039,0.0004098943,0.0002337444],"domain_scores_gemma":[0.9994894,0.00007285679,0.00007737798,0.000186294,0.0001005453,0.00007348618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00006015332,0.001134429,0.1562082,0.000004160516,0.00004477499,0.000003994679,0.03554146,0.001113443,0.0001008194,0.783999,0.00006636056,0.02172315],"study_design_scores_gemma":[0.06060478,0.0009874421,0.4236006,0.00004051813,0.0002528212,0.000001296672,0.1197359,0.06527142,0.0003863942,0.3107262,0.01677208,0.001620535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7351689,0.000005748673,0.000174408,0.0007002665,0.00008069677,0.0007948169,0.000001147867,0.00001924001,0.2630548],"genre_scores_gemma":[0.9992217,0.000003850141,0.00001958713,0.0001751868,0.0001379407,0.00008402551,2.76991e-7,0.000004042248,0.0003533229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4732728,"threshold_uncertainty_score":0.916631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05056154313198857,"score_gpt":0.3970545734801469,"score_spread":0.3464930303481584,"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."}}