{"id":"W4409603176","doi":"10.61091/jcmcc127b-086","title":"Research on malware detection and defense system based on machine learning","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Malware; Computer science; Computer security; Artificial intelligence; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003516665,0.0002668194,0.0005555229,0.0009435081,0.0007396786,0.0004047099,0.0005273395,0.0001902152,6.775356e-7],"category_scores_gemma":[0.0008412627,0.0002404418,0.0001089129,0.0008824179,0.00008454314,0.0002207514,0.0003382032,0.001299428,0.000001562567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002811582,"about_ca_system_score_gemma":0.0001176482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008421128,"about_ca_topic_score_gemma":3.728435e-7,"domain_scores_codex":[0.9971837,0.0004453343,0.0007910365,0.0003585986,0.0008706529,0.0003506473],"domain_scores_gemma":[0.9959775,0.002107437,0.0006005996,0.0003661633,0.000797234,0.0001510603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002008781,0.0002621567,0.00004690786,0.0003335888,0.00003524951,0.00004148279,0.0001931706,0.0006998382,0.0004840703,0.9838824,0.00003475726,0.01378547],"study_design_scores_gemma":[0.005061978,0.005209999,0.0001102437,0.002521097,0.00004482338,0.000140688,0.000483915,0.5369464,0.01709788,0.4304588,0.001480792,0.0004434593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1571836,0.00025879,0.8261571,0.0003199777,0.01179572,0.0005795772,0.000001117919,0.0004018356,0.003302268],"genre_scores_gemma":[0.9887104,0.00001612334,0.01089766,0.00003512809,0.0003032598,0.000005198868,2.102982e-7,0.00002204815,0.000009962816],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8315268,"threshold_uncertainty_score":0.9804934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0193408009780441,"score_gpt":0.3033552014416555,"score_spread":0.2840144004636114,"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."}}