{"id":"W2091139645","doi":"10.1016/j.dss.2009.02.014","title":"Virtual worlds — past, present, and future: New directions in social computing","year":2009,"lang":"en","type":"article","venue":"Decision Support Systems","topic":"Digital Games and Media","field":"Social Sciences","cited_by":435,"is_retracted":false,"has_abstract":false,"ca_institutions":"IBM (Canada); University of Toronto; University of Alberta","funders":"","keywords":"Metaverse; Extant taxon; Frontier; Theme (computing); TRACE (psycholinguistics); Social worlds; Focus (optics); Sociology; Data science; Virtual machine; Virtual world; Computer science; Virtual reality; World Wide Web; Social science; Human–computer interaction; Political science","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":[0.0007018535,0.0001017235,0.0002307405,0.0001419881,0.0001985318,0.0002936237,0.000156995,0.0001091549,0.00006154964],"category_scores_gemma":[0.00004028195,0.00009320133,0.00005742631,0.000479381,0.00005772008,0.0002463234,0.00003796628,0.0001084578,0.00004162479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005768704,"about_ca_system_score_gemma":0.0001336267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002684185,"about_ca_topic_score_gemma":0.0002310125,"domain_scores_codex":[0.9984869,0.00008160013,0.0003388125,0.0002428054,0.0005344214,0.0003155029],"domain_scores_gemma":[0.9993717,0.000160293,0.00008916535,0.000097222,0.0000477467,0.0002338602],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001122878,0.00003434088,0.001729817,0.00000128205,0.000003359532,0.00001474792,0.007678899,0.000003800493,0.000002847715,0.006198419,0.1113483,0.872973],"study_design_scores_gemma":[0.0002924163,0.0000459793,0.02049189,0.00002501859,0.000003538244,0.000005170027,0.007104052,0.00004394814,6.273721e-7,0.0002770988,0.971605,0.0001052512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1799375,0.001475569,0.003103897,0.01297131,0.009153203,0.001154983,0.00002051106,0.0003296998,0.7918533],"genre_scores_gemma":[0.9487783,0.00009489033,0.0001274674,0.0001718107,0.01159019,0.000003204344,0.000007305317,0.000009585598,0.03921722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8728677,"threshold_uncertainty_score":0.380064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02592232241745073,"score_gpt":0.3256713621303726,"score_spread":0.2997490397129219,"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."}}