{"id":"W1594201899","doi":"10.17705/1jais.00311","title":"Valuing Virtual Worlds: The Role of Categorization in Technology Assessment","year":2012,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Metaverse; Categorization; Computer science; Context (archaeology); Virtual reality; Knowledge management; Value (mathematics); Human–computer interaction; Data science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02180782,0.0004223341,0.0003757831,0.003956933,0.002971949,0.008730111,0.0009937183,0.001091779,0.001298989],"category_scores_gemma":[0.06951358,0.0003092324,0.0004896188,0.001900713,0.01440803,0.008453673,0.005591749,0.002065117,0.00009849326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002762053,"about_ca_system_score_gemma":0.00221073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002607083,"about_ca_topic_score_gemma":0.002326291,"domain_scores_codex":[0.9701141,0.02448181,0.000585881,0.0008655272,0.0031381,0.0008145532],"domain_scores_gemma":[0.9352046,0.05036743,0.005268367,0.00282293,0.004215912,0.002120682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002268887,0.0002587009,0.1173639,0.0003547168,0.00008622932,0.0004795159,0.6301908,0.001052714,0.003626317,0.1585818,0.0005687798,0.08720959],"study_design_scores_gemma":[0.00005747289,0.0003836409,0.1214672,0.0007672452,0.00008371592,0.0007786697,0.5880711,0.01183938,0.001928285,0.2626415,0.01172503,0.0002567417],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397316,0.0004386631,0.02777563,0.001946609,0.00004178177,0.000113175,0.000017428,0.00001811576,0.02991694],"genre_scores_gemma":[0.9974905,0.00005025982,0.002253491,0.00004623925,0.00000452548,0.00002371083,0.00000477929,0.000004902805,0.0001215938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02180782,"threshold_uncertainty_score":0.1153321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00727220652099411,"score_gpt":0.2815529908306285,"score_spread":0.2742807843096344,"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."}}