{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002863632,0.00006116492,0.0001620315,0.0002566199,0.00008533704,0.00003556962,0.0002430981,0.0001198475,0.000004285052],"category_scores_gemma":[0.0001533944,0.00003698648,0.00008228653,0.000411467,0.00001197753,0.0007327613,0.00002333086,0.0002003769,0.00000762944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003861063,"about_ca_system_score_gemma":0.00005353616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002657978,"about_ca_topic_score_gemma":0.000004751523,"domain_scores_codex":[0.9985452,0.000111546,0.0008362163,0.00002464253,0.0003215267,0.0001609013],"domain_scores_gemma":[0.9968483,0.0001562894,0.002470049,0.0001333541,0.0003743088,0.0000176714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002821243,0.00005470458,0.7116132,0.00001768093,0.0001015891,1.333986e-8,0.009258899,0.004475512,0.0001399595,0.2682756,0.0006659745,0.005368645],"study_design_scores_gemma":[0.002429549,0.0002392376,0.6671094,0.000159095,0.000103297,0.00004425285,0.05492566,0.01884495,0.0002607249,0.001498556,0.2541732,0.0002120638],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9566445,0.0005642365,0.009491387,0.001574851,0.009613936,0.001081408,0.00004870289,0.00002157112,0.02095943],"genre_scores_gemma":[0.9993559,0.000007882652,0.00003944555,0.00003674006,0.0001722086,0.00002435718,0.000004886223,0.0000045559,0.0003540773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2667771,"threshold_uncertainty_score":0.1508265,"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."}}