{"id":"W4287219601","doi":"10.5121/csit.2022.121206","title":"Are your Sensitive Inputs Secure in Android Applications?","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Android (operating system); Encryption; Information leakage; Information sensitivity; Database; Human–computer interaction; Operating system; Computer security","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":[0.00126644,0.001206576,0.0007158315,0.001051052,0.00108272,0.0024713,0.0008196208,0.001488173,0.003950175],"category_scores_gemma":[0.01472017,0.0009642995,0.0007006581,0.0005813412,0.001627635,0.006150663,0.002397592,0.001529756,0.002949885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000576376,"about_ca_system_score_gemma":0.0006487466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002007927,"about_ca_topic_score_gemma":0.004248743,"domain_scores_codex":[0.9974744,0.0004079897,0.000190771,0.0004312552,0.001117351,0.0003782508],"domain_scores_gemma":[0.9932778,0.002536881,0.0008992667,0.002242822,0.0008545519,0.0001885501],"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":[0.002593097,0.0002319794,0.09979147,0.001704636,0.0002265056,0.007129661,0.008927145,0.004055808,0.100188,0.04215264,0.03948619,0.6935129],"study_design_scores_gemma":[0.0001140342,0.0008895754,0.1316278,0.002559038,0.0006596863,0.02492431,0.01155169,0.1097905,0.3766044,0.09516921,0.2454924,0.0006171724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5314915,0.01074583,0.3554922,0.009993498,0.0009289263,0.0007684621,0.002706683,0.0394196,0.04845335],"genre_scores_gemma":[0.9417992,0.001710358,0.04556169,0.0008897283,0.00008892757,0.0000863133,0.0005187837,0.001181637,0.008163365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003950175,"threshold_uncertainty_score":0.01321465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444992494057072,"score_gpt":0.2647809802416343,"score_spread":0.2503310553010635,"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."}}