{"id":"W4285411445","doi":"10.5220/0011310900003266","title":"Interpretable Malware Classification based on Functional Analysis","year":2022,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Malware; Computer science; Malware analysis; Artificial intelligence; Data mining; Pattern recognition (psychology); Computer security","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":[0.0005484652,0.001263976,0.0005338043,0.004138533,0.000528257,0.001580648,0.0006497927,0.0007488282,0.002569909],"category_scores_gemma":[0.003173117,0.0002132705,0.0007658654,0.0009289064,0.0005119438,0.001503735,0.0006782002,0.0006367621,0.001311634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000422937,"about_ca_system_score_gemma":0.0004790209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001006024,"about_ca_topic_score_gemma":0.001377137,"domain_scores_codex":[0.9993895,0.00008291853,0.0000458152,0.0001452335,0.0002595385,0.0000769044],"domain_scores_gemma":[0.9978964,0.0006513956,0.0002477607,0.0003441286,0.0007933666,0.00006689822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009117393,0.0003915583,0.03071801,0.0004953661,0.0001357692,0.001864697,0.000678136,0.01861219,0.2268942,0.02012726,0.009849508,0.6893215],"study_design_scores_gemma":[0.00002449237,0.0003650544,0.02185673,0.0001975996,0.0001837096,0.002112981,0.0003355136,0.8187054,0.1064687,0.03697278,0.01269343,0.0000836733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2314191,0.001170409,0.7400749,0.0005371862,0.0002639391,0.0002509248,0.001888799,0.01361482,0.01077987],"genre_scores_gemma":[0.8559387,0.000402877,0.1365424,0.0001518181,0.000121423,0.000112208,0.002085584,0.0004709567,0.004173993],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004138533,"threshold_uncertainty_score":0.008597195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940555343740974,"score_gpt":0.2451399536740335,"score_spread":0.2257344002366238,"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."}}