{"id":"W4387789899","doi":"10.1109/access.2023.3325844","title":"Metaverse Key Requirements and Platforms Survey","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Metaverse; Interoperability; Scalability; Interoperation; Key (lock); Data science; Trustworthiness; World Wide Web; Computer security; Human–computer interaction; Database","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":[0.0005179691,0.00007436936,0.00009743121,0.0001323057,0.000144067,0.000122983,0.00104746,0.00007218282,0.000006279504],"category_scores_gemma":[0.00002814769,0.00006466017,0.00001638266,0.0008684878,0.00005738828,0.0004771384,0.0004220108,0.00009094123,0.0001153355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000984111,"about_ca_system_score_gemma":0.00001609347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001432313,"about_ca_topic_score_gemma":0.0001290237,"domain_scores_codex":[0.9992692,0.00001415232,0.0001215725,0.0002797489,0.0001237564,0.0001915211],"domain_scores_gemma":[0.9992963,0.00006874329,0.00004658086,0.0004992054,0.00004261727,0.00004657156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002611516,0.0003069832,0.2986683,0.00008908047,0.0002550657,0.0001026257,0.002061862,0.0001746903,0.002080081,0.4191532,0.07987805,0.197204],"study_design_scores_gemma":[0.0009495066,0.00007215001,0.6592997,0.00001693683,0.00001473556,0.0000183087,0.00003751696,0.06957969,0.02031435,0.2352048,0.01388496,0.000607338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9394699,0.00002770628,0.05881793,0.0004189996,0.0002376652,0.0001365717,0.000007047569,0.0005051168,0.0003791106],"genre_scores_gemma":[0.99873,0.00006240194,0.0008538686,0.0001734998,0.00001471357,0.00003286797,0.000005227708,0.000004507734,0.000122925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3606314,"threshold_uncertainty_score":0.2636765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08362321138982917,"score_gpt":0.3348186355038905,"score_spread":0.2511954241140614,"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."}}