{"id":"W2921161567","doi":"10.5220/0007470705280535","title":"The Curious Case of Machine Learning in Malware Detection","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Thompson Rivers University; University of Windsor","funders":"","keywords":"Malware; Computer science; Artificial intelligence; Computer security; Machine learning; Natural language processing","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":[0.01918404,0.001841975,0.00227923,0.00428557,0.003295192,0.009299301,0.00306498,0.01003268,0.003200479],"category_scores_gemma":[0.06176464,0.001113553,0.001229743,0.002716753,0.02039341,0.03335223,0.005672089,0.01581176,0.002090223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002437442,"about_ca_system_score_gemma":0.001644622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001469509,"about_ca_topic_score_gemma":0.0008573152,"domain_scores_codex":[0.9810345,0.009451679,0.0005895543,0.003127343,0.00522025,0.0005767217],"domain_scores_gemma":[0.9077551,0.08050279,0.001751818,0.00533199,0.003880044,0.0007781797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000753713,0.00007418819,0.001941031,0.0005963029,0.00009720136,0.0002801879,0.0005823112,0.006458962,0.0004859253,0.8741124,0.01997775,0.09531835],"study_design_scores_gemma":[0.00001753127,0.00004644449,0.0003112614,0.0003907107,0.00001723288,0.0003994176,0.000156042,0.03187358,0.000828173,0.9284369,0.03746549,0.00005711538],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008616875,0.07603144,0.6680827,0.1897927,0.004063209,0.0001438193,0.0002249491,0.00067088,0.05237337],"genre_scores_gemma":[0.5041724,0.06051239,0.3414516,0.04892108,0.0248302,0.0007362218,0.000325857,0.0006014676,0.01844878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01918404,"threshold_uncertainty_score":0.1014561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005067674708644204,"score_gpt":0.2402839224914033,"score_spread":0.2352162477827591,"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."}}