{"id":"W4400909628","doi":"10.1109/icde60146.2024.00179","title":"GAGE: Genetic Algorithm-Based Graph Explainer for Malware Analysis","year":2024,"lang":"en","type":"article","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Blackberry (Canada); Defence Research and Development Canada; McGill University","funders":"","keywords":"Computer science; Malware; Algorithm; Operating system","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":[0.0007226473,0.001958591,0.0006380873,0.001841031,0.0004750417,0.0007314755,0.001599902,0.001759662,0.00486818],"category_scores_gemma":[0.004461911,0.0005164985,0.001644799,0.0009032433,0.0006600328,0.001492169,0.0009924741,0.002563804,0.001135091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001027078,"about_ca_system_score_gemma":0.001393202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009359776,"about_ca_topic_score_gemma":0.01262447,"domain_scores_codex":[0.9995775,0.0001077333,0.00001900093,0.0001539834,0.0001068511,0.00003504098],"domain_scores_gemma":[0.99872,0.0008402441,0.0001128532,0.0001533088,0.000141559,0.0000319922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001455021,0.0001853658,0.00603709,0.0002631858,0.0002308259,0.0004238844,0.0001935334,0.6285423,0.00611628,0.01584799,0.01680193,0.3252121],"study_design_scores_gemma":[0.00001231758,0.00001787095,0.0001886209,0.00000956638,0.00001198978,0.00003887323,0.00001259939,0.9874972,0.001135943,0.009497019,0.001571371,0.000006695897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01636902,0.0003988608,0.9615371,0.00063865,0.00007957294,0.0001529972,0.001055145,0.01862649,0.001142235],"genre_scores_gemma":[0.2250351,0.0004614223,0.7609597,0.000750884,0.00006699913,0.0005248491,0.00575154,0.001770521,0.004678904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009359776,"threshold_uncertainty_score":0.0186106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009943046345070988,"score_gpt":0.2727362582611718,"score_spread":0.2627932119161008,"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."}}