{"id":"W4393259376","doi":"10.1145/3654663","title":"Machine Learning in Metaverse Security: Current Solutions and Future Challenges","year":2024,"lang":"en","type":"review","venue":"ACM Computing Surveys","topic":"Advanced Malware Detection Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Metaverse; Current (fluid); Data science; Computer security; Artificial intelligence","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":[0.004985325,0.0006084142,0.0009874649,0.002291833,0.0007320976,0.003965887,0.001955082,0.003209148,0.005265091],"category_scores_gemma":[0.008528515,0.0004426402,0.0008142347,0.002891241,0.001837503,0.01105079,0.001780347,0.004431846,0.003165374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00171093,"about_ca_system_score_gemma":0.002681267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001412396,"about_ca_topic_score_gemma":0.001589945,"domain_scores_codex":[0.9981956,0.000683807,0.0001061313,0.0002397014,0.0006193006,0.0001555081],"domain_scores_gemma":[0.9908717,0.006583025,0.0003705805,0.0004823472,0.0014281,0.0002642893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00003910938,0.0001170593,0.0008669719,0.003411645,0.00005299423,0.00006545393,0.0002206343,0.002503423,0.0003193727,0.0908547,0.02887651,0.8726721],"study_design_scores_gemma":[0.00001586448,0.0001642892,0.001231588,0.006970939,0.00006855793,0.000518575,0.0006883223,0.01234904,0.001097522,0.1226387,0.8541911,0.00006553533],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001574327,0.9524328,0.01329725,0.02093677,0.0009125656,0.00002823748,0.0000406248,0.0001254593,0.01065194],"genre_scores_gemma":[0.02720555,0.9512331,0.01137362,0.003640422,0.002204477,0.00005889084,0.0001230918,0.00005245342,0.004108503],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005265091,"threshold_uncertainty_score":0.02636522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08341192892944757,"score_gpt":0.3545532018983368,"score_spread":0.2711412729688892,"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."}}