{"id":"W2150107692","doi":"10.1177/1046878104263543","title":"A Survey of Simulation Game Users, Former-Users, and Never-Users","year":2004,"lang":"en","type":"article","venue":"Simulation & Gaming","topic":"Educational Games and Gamification","field":"Psychology","cited_by":228,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Business simulation; Game Developer; Video game design; Game mechanics; Game testing; Game design; Game design document; Computer science; Simulations and games in economics education; Multimedia; Non-cooperative game; Game theory; Knowledge management","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":[0.0005475421,0.0001851329,0.0002296683,0.0002340667,0.0001011526,0.00003609299,0.000116184,0.0001632288,0.0001805715],"category_scores_gemma":[0.0003005608,0.0002008708,0.00005934553,0.0004745026,0.00008430308,0.0004410101,0.00002638009,0.0001306168,0.00004916437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103598,"about_ca_system_score_gemma":0.00007053353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009476112,"about_ca_topic_score_gemma":0.0001383367,"domain_scores_codex":[0.9984221,0.0001368014,0.0005247967,0.0003884329,0.0002655229,0.0002623449],"domain_scores_gemma":[0.9982067,0.0006878643,0.0003485662,0.0003445456,0.0003174909,0.00009488111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001353339,0.0001762521,0.1375955,0.00003704811,0.00006911196,7.937019e-7,0.007401804,0.8325578,0.0003781088,0.005307503,0.0000352138,0.01630554],"study_design_scores_gemma":[0.001175937,0.00008557767,0.9583805,0.00004410926,0.00003379717,0.000001377442,0.0008061387,0.03565083,0.00006400805,0.0009693342,0.00257268,0.0002157439],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9615484,0.0003487455,0.0362825,0.0003043486,0.0004056474,0.0003890069,0.00003153115,0.00006363281,0.0006262311],"genre_scores_gemma":[0.998358,0.00001356431,0.0006253102,0.0001904809,0.00009545658,0.00001482445,0.0002144381,0.00003399827,0.0004539743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.820785,"threshold_uncertainty_score":0.8191273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05928637391529132,"score_gpt":0.3657190433397665,"score_spread":0.3064326694244752,"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."}}