{"id":"W4205730035","doi":"10.1007/978-3-030-93956-4_5","title":"Granularity and Usability in Authorization Policies","year":2022,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Usability; Principal (computer security); Set (abstract data type); Syntax; Authorization; World Wide Web; Context (archaeology); Resource (disambiguation); Computer security; Human–computer interaction; Programming language; 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":[0.0184487,0.0009316604,0.001376285,0.003356294,0.003109486,0.01238938,0.00161685,0.003548806,0.007415717],"category_scores_gemma":[0.07646184,0.001493348,0.001128235,0.003600078,0.01471063,0.02708587,0.004885702,0.00610734,0.001316469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003620564,"about_ca_system_score_gemma":0.002054996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002593389,"about_ca_topic_score_gemma":0.001382265,"domain_scores_codex":[0.9685327,0.0194821,0.002364293,0.002433278,0.005876206,0.00131145],"domain_scores_gemma":[0.897054,0.08279383,0.002000292,0.01443235,0.002880372,0.0008391126],"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":[0.00005082139,0.00001991943,0.0003608875,0.00007417862,0.000009924923,0.00003532132,0.001486469,0.001216121,0.0003884258,0.9730978,0.001350234,0.02190996],"study_design_scores_gemma":[0.00001636605,0.00002199736,0.0002435189,0.00009937448,0.00001721299,0.0001072038,0.0004453128,0.00450935,0.0007318743,0.9828552,0.01093419,0.00001833498],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05713439,0.009377547,0.6828645,0.01303159,0.0007000097,0.0002964632,0.0003752242,0.001375589,0.2348447],"genre_scores_gemma":[0.8164269,0.003218686,0.1594318,0.001127566,0.0005799523,0.0004381533,0.0003223874,0.0006846365,0.01776979],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0184487,"threshold_uncertainty_score":0.0975672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06095335389733772,"score_gpt":0.3442671777863834,"score_spread":0.2833138238890457,"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."}}