{"id":"W3025825564","doi":"10.1109/icssa45270.2018.00024","title":"An Adaptive Dataset for the Evaluation of Android Malware Detection Techniques","year":2018,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Malware; Computer science; Android (operating system); Android malware; Malware analysis; Cryptovirology; Mobile malware; 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":[0.00275426,0.002215575,0.0009387388,0.006209623,0.001273579,0.00157492,0.002295135,0.002108247,0.001651051],"category_scores_gemma":[0.008999248,0.0004111665,0.001609217,0.004159883,0.0007072014,0.00216407,0.00164957,0.00188372,0.002526984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001473682,"about_ca_system_score_gemma":0.001418042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008547389,"about_ca_topic_score_gemma":0.01538129,"domain_scores_codex":[0.9952514,0.0006781521,0.0008061008,0.00105655,0.001856058,0.0003517239],"domain_scores_gemma":[0.9913219,0.001777928,0.0009010407,0.002323001,0.003113843,0.0005623702],"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":[0.001906252,0.004930986,0.08912817,0.002832589,0.0008004234,0.000888609,0.0004917104,0.02025596,0.02038109,0.003096313,0.6477813,0.2075065],"study_design_scores_gemma":[0.001236377,0.002156783,0.3178893,0.0005767957,0.000432833,0.002745424,0.00126324,0.1831622,0.04264518,0.004315578,0.4431158,0.000460519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.275563,0.002407265,0.01403452,0.001876266,0.001462922,0.002274316,0.6792819,0.01367397,0.009425814],"genre_scores_gemma":[0.1048045,0.0003953592,0.03234555,0.0003422877,0.0002113128,0.001065458,0.858664,0.0003587486,0.001812806],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008547389,"threshold_uncertainty_score":0.01699531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06266624001741987,"score_gpt":0.3745409135021112,"score_spread":0.3118746734846913,"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."}}