{"id":"W2799361398","doi":"10.31031/fsar.2018.02.000540","title":"Ransomware on Android devices","year":2018,"lang":"en","type":"article","venue":"Forensic Science & Addiction Research","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton","funders":"","keywords":"Android (operating system); Ransomware; Computer security; Android application; Internet privacy; Computer science; Operating system; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002753174,0.0001429778,0.0001297314,0.001247053,0.001713445,0.0004349706,0.001877717,0.00007281594,0.0001630976],"category_scores_gemma":[0.0005499438,0.0001245139,0.00004738567,0.005283352,0.002420131,0.001666175,0.0005062361,0.0004283107,0.0008632832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002937237,"about_ca_system_score_gemma":0.0002517985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005218561,"about_ca_topic_score_gemma":0.00006030506,"domain_scores_codex":[0.9957997,0.0001253412,0.0002270106,0.0009332405,0.002086122,0.0008286278],"domain_scores_gemma":[0.9969494,0.000195513,0.00006860762,0.001079224,0.001451421,0.0002558568],"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":[0.00008753152,0.0001230668,0.0004779172,0.000009297398,0.000009726464,0.00002074018,0.001076731,0.00004230843,0.023251,0.08448747,0.02292747,0.8674868],"study_design_scores_gemma":[0.0004201354,0.002651819,0.006795638,0.0001092885,0.000002234884,0.00007194723,0.0001723865,0.02321337,0.7990746,0.01906255,0.1480448,0.0003811908],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09184908,0.00008327512,0.846737,0.002000144,0.002022234,0.0008424394,0.000008754476,0.001683272,0.05477385],"genre_scores_gemma":[0.9632041,0.00001712998,0.03529256,0.0003798598,0.0003033407,0.00007202457,0.000001073832,0.00001193843,0.0007179372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8713551,"threshold_uncertainty_score":0.9999146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05611220012157394,"score_gpt":0.3921073696640903,"score_spread":0.3359951695425163,"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."}}