{"id":"W4413189697","doi":"10.1002/aisy.202500263","title":"A Literature Survey on Potential Private User Information Leakage in Metaverse Applications","year":2025,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université du Québec en Outaouais","funders":"","keywords":"Metaverse; Leakage (economics); Information leakage; Computer science; Data science; Human–computer interaction; Computer security; Economics; Virtual reality","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":[],"consensus_categories":[],"category_scores_codex":[0.0003057747,0.000192275,0.0002302759,0.000382166,0.00009781757,0.0002364699,0.0003962976,0.0000907376,0.000008405799],"category_scores_gemma":[0.0002050118,0.0001653657,0.00006426401,0.000885024,0.00003914054,0.0006561748,0.00008002934,0.0002637599,0.0002651488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009911475,"about_ca_system_score_gemma":0.00002433026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005097757,"about_ca_topic_score_gemma":0.00001917409,"domain_scores_codex":[0.9983931,0.0002432636,0.0005282001,0.0003449304,0.0002300538,0.0002604368],"domain_scores_gemma":[0.9990349,0.0002690521,0.0001553646,0.0004107778,0.00008155995,0.00004835684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001114786,0.001115896,0.005659423,0.001310604,0.0001242568,0.00006814781,0.004580178,0.5024216,0.176046,0.2404239,0.008168289,0.05896694],"study_design_scores_gemma":[0.001027639,0.000202121,0.005695413,0.001266764,0.00001577428,0.00001807613,0.0003537571,0.01774971,0.471604,0.0009332008,0.5004914,0.0006421661],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4656407,0.0005530434,0.5179455,0.000301994,0.003995519,0.003772844,0.0003061031,0.0003751034,0.007109162],"genre_scores_gemma":[0.9969503,0.0001099409,0.0001609274,0.0006383859,0.0000336398,0.0001506671,0.00005867912,0.000009514589,0.001887996],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5313095,"threshold_uncertainty_score":0.6743418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869292029132192,"score_gpt":0.282826807464481,"score_spread":0.2641338871731591,"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."}}