{"id":"W2883457276","doi":"10.1145/3210311","title":"Technological and Human Factors of Malware Attacks","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Privacy and Security","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Malware; Computer security; Computer science; Field (mathematics); Software; Internet privacy; Cryptovirology; Mobile malware","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003502217,0.0002883155,0.0002136159,0.001079136,0.0008994425,0.002161323,0.0002456487,0.0008097748,0.004723283],"category_scores_gemma":[0.03066197,0.0001848443,0.0003371754,0.0005034476,0.00170863,0.0009338996,0.0009804557,0.0007958986,0.0004015009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007833765,"about_ca_system_score_gemma":0.0008746064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003109329,"about_ca_topic_score_gemma":0.002063287,"domain_scores_codex":[0.9939905,0.003584356,0.0002652553,0.0003923658,0.001323039,0.0004443541],"domain_scores_gemma":[0.9291692,0.05844257,0.006007683,0.001642654,0.002123625,0.002614349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007467572,0.001364806,0.9269553,0.0002006771,0.0002001087,0.0006195128,0.008466481,0.002743068,0.002628571,0.005145294,0.000799158,0.05013025],"study_design_scores_gemma":[0.00002110705,0.0009325052,0.9840817,0.00005792873,0.00006469638,0.0005579909,0.004490451,0.003250448,0.0007658435,0.002063888,0.003669968,0.0000433788],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9750075,0.0005781265,0.002395948,0.0007605646,0.0000303986,0.0001941839,0.00008555895,0.00002142289,0.02092617],"genre_scores_gemma":[0.9986571,0.0001354531,0.0005263014,0.00006164746,0.0000138498,0.00002953624,0.00001714455,0.000004139227,0.0005549428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004723283,"threshold_uncertainty_score":0.01852173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02458136625236124,"score_gpt":0.2950149660266401,"score_spread":0.2704335997742788,"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."}}