{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222831,0.00009315345,0.00008806375,0.0001004915,0.0001844051,0.00003916693,0.0005881391,0.00005597623,0.00002178661],"category_scores_gemma":[0.0001124418,0.00006624401,0.00003152764,0.0002814171,0.0000997609,0.0008432203,0.00008883066,0.00005619045,0.000003041383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005863432,"about_ca_system_score_gemma":0.00004362112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005299545,"about_ca_topic_score_gemma":0.0001907687,"domain_scores_codex":[0.998979,0.00009242122,0.0001841284,0.0002917888,0.0003252079,0.0001274781],"domain_scores_gemma":[0.9981031,0.0001122462,0.0001359555,0.0007925149,0.0008275126,0.00002868936],"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":[0.00004133441,0.00003000237,0.000003288186,0.000003672358,0.000009435755,6.627826e-8,0.00008367625,0.000018177,0.03069676,0.002837183,0.001183638,0.9650928],"study_design_scores_gemma":[0.0001016904,0.00109548,0.0001260357,0.000005055427,0.00001501933,0.000006482153,0.0000474491,0.1885559,0.7915197,0.01382144,0.004625009,0.00008079974],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006296131,0.00002146154,0.9975336,0.00007768293,0.000115343,0.0009159611,0.0001024181,0.0004039756,0.0001999021],"genre_scores_gemma":[0.7449626,0.000004300147,0.254519,0.0001035208,0.00008075001,0.0002911569,0.0000221589,0.00000685465,0.00000962284],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.965012,"threshold_uncertainty_score":0.2701353,"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."}}