{"id":"W4313534966","doi":"10.1109/mmul.2022.3217627","title":"The Metaverse From a Multimedia Communications Perspective","year":2022,"lang":"en","type":"article","venue":"IEEE Multimedia","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Huawei Technologies (Canada)","funders":"","keywords":"Perspective (graphical); Metaverse; Computer science; Multimedia; Human–computer interaction; Virtual reality; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004559322,0.000132072,0.0001364098,0.00006193163,0.001446847,0.0001702636,0.003222216,0.00003081961,0.00008963661],"category_scores_gemma":[0.0002398938,0.0001054453,0.00009933612,0.0005351231,0.0002193039,0.0002598449,0.000930642,0.0003942852,0.0003138185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000252157,"about_ca_system_score_gemma":0.0001642383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283729,"about_ca_topic_score_gemma":0.0002726798,"domain_scores_codex":[0.9984221,0.0002899416,0.0002265971,0.0003379984,0.0004310203,0.0002922793],"domain_scores_gemma":[0.995873,0.001350793,0.0001282601,0.00235919,0.0001292415,0.0001595193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007132639,0.00162613,0.0002959031,0.000003213024,0.0005592554,0.00002443427,0.09840374,0.001310147,0.01140509,0.1720566,0.08475502,0.6294891],"study_design_scores_gemma":[0.0007442642,0.00007966937,0.002721054,0.000002724978,0.0000281199,0.000007469968,0.004775751,0.7068467,0.0009516577,0.01252155,0.2710351,0.0002859977],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06267768,0.009546006,0.6526098,0.1846209,0.01050538,0.006782196,0.002461641,0.003118652,0.0676778],"genre_scores_gemma":[0.9257651,0.0001745628,0.07197076,0.0008526178,0.0001184889,0.000520327,0.00003571779,0.0000170431,0.0005453907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8630874,"threshold_uncertainty_score":0.9998531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04348756975781291,"score_gpt":0.3070808933943672,"score_spread":0.2635933236365543,"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."}}