{"id":"W7030134498","doi":"","title":"Metis: Mocking Data for Usability &amp; Privacy","year":2013,"lang":"en","type":"article","venue":"W&M Publish (College of William & Mary)","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Permission; Android (operating system); Information privacy; Privacy software; Privacy by Design; Service provider; Privacy protection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001021723,0.0002940936,0.000467213,0.0003003198,0.000220499,0.0002776839,0.004890903,0.0001683805,0.0001466054],"category_scores_gemma":[0.002222645,0.0002879064,0.0001430756,0.001076997,0.0001804893,0.009031664,0.002648671,0.0002378344,0.00002696568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001310765,"about_ca_system_score_gemma":0.0001744602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001831305,"about_ca_topic_score_gemma":0.00005173159,"domain_scores_codex":[0.99695,0.0001042739,0.0007329194,0.001130873,0.0005204765,0.0005614848],"domain_scores_gemma":[0.99396,0.0004246384,0.0004056372,0.004268771,0.0007425141,0.0001984024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002861264,0.0004584352,0.001854226,0.0003047824,0.0001000448,0.000004034863,0.000201917,0.00003499712,0.00267195,0.01480333,0.8831288,0.09640893],"study_design_scores_gemma":[0.000764942,0.0002192552,0.007564162,0.00007782095,0.00002428393,0.00001875955,0.00004286033,0.008538062,0.007619711,0.1011268,0.8733119,0.0006914387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006719064,0.0001343352,0.984418,0.002920488,0.00070054,0.001934162,0.0003539285,0.0009673686,0.001852142],"genre_scores_gemma":[0.16143,0.00002822301,0.8353338,0.0003764954,0.0001789803,0.0005199098,0.00007572262,0.00004623345,0.002010646],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1547109,"threshold_uncertainty_score":0.9999573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04400956260116947,"score_gpt":0.2929785732571837,"score_spread":0.2489690106560142,"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."}}