{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003855309,0.0005503548,0.001234972,0.0007289324,0.0002063472,0.0001918419,0.001262673,0.0002619021,0.000002644688],"category_scores_gemma":[0.000352897,0.0004888083,0.0002604027,0.001053057,0.00005502431,0.0002480817,0.003056433,0.002004699,0.00004281326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001704415,"about_ca_system_score_gemma":0.0001368185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003648573,"about_ca_topic_score_gemma":0.00009142057,"domain_scores_codex":[0.9953291,0.002143664,0.0006431354,0.001095764,0.0002752139,0.0005131285],"domain_scores_gemma":[0.9977927,0.0007475893,0.0003145792,0.0009705831,0.00007066555,0.0001038731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[1.332643e-7,0.00002039779,0.000002049558,0.003915342,0.00003478087,0.00002753265,0.000263412,0.000004904836,1.820878e-8,0.00342133,0.00005292094,0.9922572],"study_design_scores_gemma":[0.00006206563,0.00004218605,0.00001320321,0.00409484,0.00008646942,0.0001083349,0.00001348197,0.004832898,2.937374e-7,0.004310671,0.9859601,0.0004755177],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[4.536204e-7,0.8833527,0.1133216,0.0001817855,0.001365425,0.0003642227,0.0000107271,0.001310182,0.00009291719],"genre_scores_gemma":[0.00008162869,0.988855,0.01054016,0.000007784222,0.0003846809,0.00002957189,0.00002559947,0.00005307081,0.00002253241],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9917817,"threshold_uncertainty_score":0.9997563,"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."}}