{"id":"W2074109300","doi":"10.1177/1046878108327585","title":"Developments in Business Gaming","year":2008,"lang":"en","type":"article","venue":"Simulation & Gaming","topic":"Educational Games and Gamification","field":"Psychology","cited_by":298,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Business simulation; Business model; Game mechanics; Business analysis; Management science; Marketing; Public relations; Computer science; Engineering; Knowledge management; Multimedia; Business; 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":[0.0001670936,0.00009973285,0.0001061702,0.0002021643,0.0001126514,0.00001155884,0.00008846335,0.00007479559,0.0002551535],"category_scores_gemma":[0.00009427108,0.0001108356,0.00002109412,0.0005212611,0.00003005369,0.0001487362,0.00001608392,0.00008485399,0.0002944494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009106785,"about_ca_system_score_gemma":0.00005978757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000082536,"about_ca_topic_score_gemma":0.00001371423,"domain_scores_codex":[0.9990327,0.00004973543,0.0003055848,0.0002504479,0.000158062,0.0002034243],"domain_scores_gemma":[0.9994012,0.0001601892,0.000100134,0.0001714246,0.0001293141,0.00003772228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006765129,0.0004426388,0.7754212,0.00003090804,0.00003834092,0.00003226509,0.03626676,0.07870776,0.0009124421,0.01482304,0.0003191824,0.09293781],"study_design_scores_gemma":[0.000375189,0.000004828722,0.9759554,0.00002518191,0.000002651789,0.00000776041,0.0005117825,0.002020424,0.0000254248,0.0001137887,0.02082894,0.00012868],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743616,0.0001652645,0.005920126,0.0002335973,0.0006320302,0.0001735237,0.000001256096,0.00005443551,0.01845817],"genre_scores_gemma":[0.9946561,0.00001026281,0.001398059,0.0001741151,0.0001294822,0.0000294208,0.00004761166,0.000016993,0.003537993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2005342,"threshold_uncertainty_score":0.4519742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07327755550068836,"score_gpt":0.3605057387784754,"score_spread":0.287228183277787,"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."}}