{"id":"W4404838064","doi":"10.1016/j.procs.2024.09.590","title":"A Survey for Educational Metaverse: Advances and Beyond","year":2024,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"East China Normal University; National Natural Science Foundation of China","keywords":"Computer science; Metaverse; Data science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074393,0.00008819502,0.00007828421,0.0002416831,0.0002740105,0.0008992256,0.0006912407,0.00001737117,0.00001630024],"category_scores_gemma":[0.0001819022,0.00007846259,0.00003985879,0.0009660278,0.0002002206,0.001469722,0.0001798479,0.00008051394,0.00003989999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003303303,"about_ca_system_score_gemma":0.0006067233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005689263,"about_ca_topic_score_gemma":0.00000807526,"domain_scores_codex":[0.9988361,0.00002690048,0.0001458379,0.0005411689,0.0002310094,0.0002189581],"domain_scores_gemma":[0.9989731,0.0004310873,0.0000349489,0.000197356,0.0002424507,0.000121069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003334406,0.0001713723,0.008320576,0.0003845444,0.00002715605,0.000001261026,0.008465998,0.0002046263,0.0001000296,0.5811263,0.01996922,0.3812255],"study_design_scores_gemma":[0.0001664083,0.0001765704,0.07624198,0.00008729967,0.000008651457,0.0000572945,0.00004420333,0.7725689,0.0001925943,0.02503624,0.1250797,0.0003401844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004689308,0.002634719,0.9832227,0.00568128,0.003095767,0.0001763502,0.000005556404,0.0001466464,0.0003476437],"genre_scores_gemma":[0.6925837,0.00004951845,0.3054044,0.0006981204,0.0002839745,0.00008593923,0.000006724013,0.000007275056,0.0008803583],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7723643,"threshold_uncertainty_score":0.8671254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02759012065459059,"score_gpt":0.337372138057835,"score_spread":0.3097820174032444,"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."}}