{"id":"W4412531042","doi":"10.22541/au.175312432.26548821/v1","title":"Antivirus evasion techniques in modern malware","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Penticton Regional Hospital","funders":"","keywords":"Evasion (ethics); Malware; Computer security; Computer science; Internet privacy; Business; Biology","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":[0.001032167,0.0004611962,0.000345512,0.001923836,0.0008135379,0.00210822,0.0004907912,0.001542565,0.001240391],"category_scores_gemma":[0.004244257,0.0004005899,0.0004536856,0.0006934161,0.002890129,0.002670419,0.001120599,0.001640035,0.0004013854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001004922,"about_ca_system_score_gemma":0.0004830856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005749621,"about_ca_topic_score_gemma":0.0004021142,"domain_scores_codex":[0.9985235,0.0003845176,0.0000462036,0.0001384529,0.000730745,0.0001765842],"domain_scores_gemma":[0.9972689,0.001386679,0.0003725329,0.0004568575,0.0004376155,0.00007743484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001735423,0.0003495195,0.008031577,0.0003234318,0.00008466378,0.0007899537,0.002232948,0.03366436,0.0443443,0.5076218,0.004866703,0.3975172],"study_design_scores_gemma":[0.00007606453,0.0005991361,0.008641398,0.0004738108,0.00008925846,0.005830474,0.001139404,0.3454438,0.08041815,0.4685128,0.0886164,0.0001593875],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.264264,0.009173145,0.6657819,0.003966863,0.0002751557,0.0002222095,0.00005665514,0.001833872,0.05442623],"genre_scores_gemma":[0.8988406,0.002444191,0.08921675,0.0004464521,0.0001407469,0.00006404449,0.00003561391,0.0001078345,0.008703722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00210822,"threshold_uncertainty_score":0.007291257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01912766432519622,"score_gpt":0.3031717070970267,"score_spread":0.2840440427718304,"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."}}