{"id":"W2027353387","doi":"10.4018/jgcms.2013010101","title":"The Simulation-Game Controversy","year":2013,"lang":"en","type":"article","venue":"International Journal of Gaming and Computer-Mediated Simulations","topic":"Educational Games and Gamification","field":"Psychology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cochrane","funders":"","keywords":"Computer science; Terminology; Set (abstract data type); Extension (predicate logic); Adversary; Focus (optics); Implementation; Hierarchy; Educational game; Game Developer; Game design; Human–computer interaction; Software engineering; Multimedia; Programming language; Computer security","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":[0.0002238665,0.0001086251,0.0001290643,0.0001603397,0.000137865,0.0002213154,0.0003094613,0.00006405717,0.0002651576],"category_scores_gemma":[0.0002021556,0.00008043422,0.00007944613,0.0001126406,0.00009298077,0.0002573096,0.00003507995,0.000188993,0.00008469789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005235405,"about_ca_system_score_gemma":0.00005236601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005541648,"about_ca_topic_score_gemma":0.000005337482,"domain_scores_codex":[0.9987288,0.00009337119,0.0005519349,0.0001303032,0.0003440713,0.0001515069],"domain_scores_gemma":[0.9957045,0.002502531,0.0004459079,0.0001379787,0.001109733,0.00009932694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002651344,0.0008957841,0.05461229,0.000009166301,0.002125293,0.00002969744,0.01337222,0.286018,0.0007826406,0.0769024,0.01720641,0.5477809],"study_design_scores_gemma":[0.001831648,0.0001833502,0.4236415,0.00005415877,0.00004678744,0.00008617849,0.001096865,0.4673952,0.000008197007,0.005180491,0.1002615,0.0002140429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8939538,0.0009274496,0.08881292,0.009203936,0.005903366,0.0002733576,0.00002641424,0.00003870844,0.0008600458],"genre_scores_gemma":[0.9972127,0.00004819793,0.0005823935,0.0004789928,0.001094587,0.000006971299,0.0000244931,0.00001153143,0.000540126],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5475669,"threshold_uncertainty_score":0.3280012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01605048657026662,"score_gpt":0.3219043567266533,"score_spread":0.3058538701563867,"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."}}