{"id":"W2957992865","doi":"10.1145/3319619.3326818","title":"Darwinian malware detectors","year":2019,"lang":"en","type":"article","venue":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Malware; Computer science; Android (operating system); Popularity; Darwinism; Computer security; Evasion (ethics); Consistency (knowledge bases); Software; Mobile device; Android malware; Machine learning; Artificial intelligence; Data science; World Wide Web; Operating system","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":[0.0001163418,0.0001494314,0.0001738598,0.0001202051,0.0001588848,0.00006809492,0.0005746832,0.0000693762,0.00001570145],"category_scores_gemma":[0.0000325205,0.000125221,0.00005505343,0.0003773884,0.0001102,0.0004282585,0.0002972147,0.0001429324,0.00001190841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004867018,"about_ca_system_score_gemma":0.00005514199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008245701,"about_ca_topic_score_gemma":4.48812e-7,"domain_scores_codex":[0.9988406,0.00001667369,0.0003119921,0.0003591437,0.000295773,0.0001758362],"domain_scores_gemma":[0.9990131,0.0000468106,0.0002779285,0.0001474771,0.0004556873,0.00005902479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001170302,0.0003190774,0.2888994,0.0008720896,0.0001207672,0.0000013098,0.004089635,0.008948428,0.1629827,0.2585944,0.003420207,0.2716351],"study_design_scores_gemma":[0.0005000763,0.0002834344,0.6147529,0.000178648,0.00001369566,0.0001062691,0.0002586942,0.2570812,0.01804402,0.1073845,0.001005191,0.0003913275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6361986,0.0001102613,0.3614303,0.0004017161,0.0002969138,0.0003603594,0.000002247237,0.0002036409,0.0009959659],"genre_scores_gemma":[0.9163027,0.00002282941,0.083469,0.00006095289,0.00002278581,0.00001243169,9.061566e-7,0.000007803539,0.000100591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3258536,"threshold_uncertainty_score":0.5106364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01110502762088504,"score_gpt":0.2228584387273029,"score_spread":0.2117534111064178,"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."}}