{"id":"W7132952047","doi":"","title":"Correlating Sensitive Behaviours with User Interaction on Android","year":2017,"lang":"","type":"dissertation","venue":"TSpace","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Android (operating system); Suite; Mobile device; User interface; Information sensitivity; Private information retrieval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003019883,0.0008168436,0.0006477532,0.0004833538,0.001187247,0.000716147,0.0008087335,0.0005294428,0.00005999415],"category_scores_gemma":[0.0002540922,0.000815716,0.0001826426,0.0003234429,0.0001449481,0.001482699,0.0001176892,0.00176773,0.0001366557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004581197,"about_ca_system_score_gemma":0.0002341486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006610203,"about_ca_topic_score_gemma":0.0005528537,"domain_scores_codex":[0.9964737,0.0001811694,0.000471305,0.001477207,0.0007961602,0.0006004957],"domain_scores_gemma":[0.9951363,0.0002803748,0.001977688,0.001649723,0.0007448407,0.0002110365],"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":[0.004145783,0.0008453449,0.001064178,0.000297515,0.000434898,0.00157356,0.09733073,0.006379084,0.01312635,0.004731963,0.001599258,0.8684713],"study_design_scores_gemma":[0.002235126,0.007888494,0.01365105,0.009000826,0.0004829502,0.0009691405,0.02741573,0.02902894,0.8969629,0.000409922,0.007598437,0.004356505],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2116858,0.00005426923,0.7558275,0.0002991416,0.003912781,0.00147164,0.0000127393,0.001002149,0.02573402],"genre_scores_gemma":[0.9337715,0.00007485363,0.02219982,0.0001287225,0.0002373551,0.0001084363,0.0001370769,0.0001391511,0.04320308],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8838365,"threshold_uncertainty_score":0.9994293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0223891501250843,"score_gpt":0.3622941139331175,"score_spread":0.3399049638080332,"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."}}