{"id":"W4304109184","doi":"10.36227/techrxiv.19255058.v3","title":"A Survey on Metaverse: Fundamentals, Security, and Privacy","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Windsor","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Metaverse; Computer science; Interoperability; Scalability; Data science; World Wide Web; Human–computer interaction; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003157246,0.001043472,0.001063494,0.004836652,0.001724659,0.006223925,0.001670933,0.002808413,0.006351468],"category_scores_gemma":[0.005494379,0.0007986557,0.0009476488,0.008265709,0.002975755,0.01883116,0.003081937,0.003562472,0.002037302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002471012,"about_ca_system_score_gemma":0.002395931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001629753,"about_ca_topic_score_gemma":0.00120939,"domain_scores_codex":[0.9969327,0.0007054012,0.0003237463,0.000427604,0.001292495,0.0003179463],"domain_scores_gemma":[0.9949723,0.003109011,0.0003374461,0.0005847408,0.0007666353,0.0002298623],"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":[0.0000814335,0.0001076157,0.00231872,0.004967865,0.00005608571,0.0002418847,0.001121702,0.003358844,0.00209812,0.4989305,0.03033142,0.4563859],"study_design_scores_gemma":[0.000006852482,0.0001040367,0.00110341,0.002813253,0.00004105761,0.001147298,0.0008905503,0.004102495,0.002007613,0.09641583,0.8913019,0.00006565607],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01176855,0.7371128,0.1393565,0.0104171,0.001579453,0.0002158962,0.0004383925,0.0005912615,0.09852009],"genre_scores_gemma":[0.08996315,0.8414482,0.04843906,0.003301587,0.002170823,0.0002561939,0.0009028172,0.0002717424,0.01324654],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006351468,"threshold_uncertainty_score":0.0212478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07172093973420123,"score_gpt":0.3170818894730557,"score_spread":0.2453609497388545,"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."}}