{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001066433,0.0001237687,0.0001514276,0.0001390418,0.0002867517,0.00002931702,0.0004737153,0.0001301973,0.00002572909],"category_scores_gemma":[0.00005501544,0.0001077469,0.00003714505,0.0002387656,0.0004795019,0.0003222124,0.00006658996,0.0002313135,0.000001473481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001434458,"about_ca_system_score_gemma":0.000007779329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001593882,"about_ca_topic_score_gemma":0.00001198408,"domain_scores_codex":[0.9992061,0.00003531345,0.0001706585,0.0003273228,0.0001166239,0.0001440171],"domain_scores_gemma":[0.99909,0.00009131984,0.00005918677,0.000635166,0.00006356111,0.0000607956],"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":[0.0001332176,0.001472048,0.01067137,0.0002729045,0.0001710939,0.00002520417,0.01051974,0.000006292888,0.04772292,0.2227126,0.0002142662,0.7060784],"study_design_scores_gemma":[0.00048004,0.001620706,0.01296506,0.00005571169,0.00001898705,0.00004988489,0.000190569,0.0004265789,0.6402365,0.336982,0.006549973,0.0004240535],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3970713,0.00001851561,0.6021652,0.0002485455,0.00003114668,0.00008960038,0.000005929603,0.0002975722,0.00007217083],"genre_scores_gemma":[0.9747098,0.00004563409,0.02515501,0.00004820961,0.000007438514,0.000010369,5.33907e-7,0.000005125777,0.00001789327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7056543,"threshold_uncertainty_score":0.439379,"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."}}