{"id":"W4416513746","doi":"10.1109/isncc66965.2025.11250476","title":"Deciphering Model Decisions in Android Malware Detection with Explainable AI","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia; Western University","funders":"","keywords":"Malware; Trojan; Mobile malware; Android (operating system); Cryptovirology; Android malware","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":[0.002445459,0.0006278699,0.0005198172,0.001375481,0.0004934378,0.001619154,0.0006420381,0.0008853126,0.001705304],"category_scores_gemma":[0.01746006,0.0004346423,0.0008041981,0.0004434847,0.0008083771,0.001514095,0.0006971841,0.001304841,0.0002287072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201024,"about_ca_system_score_gemma":0.001032904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01593207,"about_ca_topic_score_gemma":0.01953582,"domain_scores_codex":[0.9993692,0.0002916252,0.00002946577,0.0001302619,0.00007541123,0.0001040762],"domain_scores_gemma":[0.9834609,0.01476781,0.0007773314,0.0004417825,0.0004077369,0.0001444039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004095106,0.0002011546,0.03259298,0.0001484841,0.0001253533,0.0005692763,0.0008674774,0.8586051,0.002353045,0.04097775,0.001336215,0.06181357],"study_design_scores_gemma":[0.000004799997,0.00001592609,0.0009082004,0.000009123799,0.000009936675,0.00002564948,0.00003781561,0.9875653,0.0002946301,0.01096097,0.0001606634,0.000007001746],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6185971,0.0004692808,0.373881,0.002079976,0.00004642409,0.00009358243,0.0003161072,0.0008564473,0.003660099],"genre_scores_gemma":[0.9662808,0.000131811,0.03255624,0.00008499653,0.00001735134,0.00003946743,0.0001672917,0.00004000989,0.0006820824],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01593207,"threshold_uncertainty_score":0.03167862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210850341504657,"score_gpt":0.2736616377992796,"score_spread":0.261553134384233,"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."}}