{"id":"W2741480773","doi":"","title":"Turtle Guard: Helping Android Users Apply Contextual Privacy Preferences","year":2017,"lang":"en","type":"article","venue":"Symposium On Usable Privacy and Security","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Android (operating system); Guard (computer science); Computer science; Internet privacy; Computer security; Operating system","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":[0.0007738744,0.0009941406,0.0004007329,0.0002714593,0.0005287404,0.001277807,0.0006782819,0.000796799,0.007332584],"category_scores_gemma":[0.005399509,0.0003181142,0.0002882198,0.0001202647,0.000392231,0.002018047,0.001960518,0.0009865768,0.001568361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002017399,"about_ca_system_score_gemma":0.0004428723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001656374,"about_ca_topic_score_gemma":0.00529789,"domain_scores_codex":[0.9994991,0.0001392994,0.0000312875,0.00009397781,0.0001573415,0.00007884714],"domain_scores_gemma":[0.9984192,0.0007547524,0.0001026887,0.0004139563,0.0001679135,0.000141491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006354827,0.001088317,0.03587707,0.001259397,0.0002254996,0.003138303,0.01295394,0.004693976,0.1052557,0.01305681,0.09444408,0.7216521],"study_design_scores_gemma":[0.0006506587,0.003025315,0.05628575,0.0007547604,0.0009539051,0.007387293,0.01351364,0.3024745,0.2460031,0.03178947,0.3363791,0.0007826386],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5807944,0.001839516,0.2931813,0.002805106,0.0005595353,0.0006424753,0.001167013,0.08550484,0.03350583],"genre_scores_gemma":[0.9291219,0.0003433083,0.05402505,0.0006936666,0.00005184674,0.0001118646,0.0004720958,0.00123042,0.01395004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007332584,"threshold_uncertainty_score":0.02452999,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212448652139247,"score_gpt":0.2760884521340007,"score_spread":0.254843586920076,"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."}}