{"id":"W2037845224","doi":"10.5555/1404803.1404846","title":"Constructive simulation versus serious games: a Canadian case study","year":2007,"lang":"en","type":"article","venue":"Spring Simulation Multiconference","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Constructive; Battle; Command and control; Aviation; Aeronautics; Training (meteorology); Computer science; Operations research; Control (management); Simulation; Engineering; Engineering management; Artificial intelligence; Process (computing); Aerospace engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002147213,0.0002615415,0.0003019276,0.0007748251,0.0006336137,0.0003867888,0.0004536594,0.0001556274,0.0003401266],"category_scores_gemma":[0.002596063,0.000249724,0.00009777922,0.001100117,0.0001267572,0.0005073198,0.00009298718,0.0002523817,0.0002154379],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002967465,"about_ca_system_score_gemma":0.0002891201,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05226125,"about_ca_topic_score_gemma":0.1144972,"domain_scores_codex":[0.9966894,0.0001516369,0.001024362,0.0007520099,0.0009044624,0.000478122],"domain_scores_gemma":[0.9924656,0.004531574,0.000358569,0.0009727536,0.001249162,0.0004223523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008898507,0.0001069504,0.08797742,0.000001862735,0.00002505648,0.0002218495,0.002603448,0.7777625,0.00005912201,0.002338459,0.000005327298,0.128809],"study_design_scores_gemma":[0.001509227,0.0001165636,0.07847081,0.000009295862,0.00002804688,0.00002177257,0.009563065,0.9058564,0.000102905,0.001268051,0.002710301,0.0003435227],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7716087,0.000007516018,0.2251274,0.00004049291,0.0004239081,0.00101301,0.00001352879,0.000176409,0.001589121],"genre_scores_gemma":[0.9950892,4.749348e-7,0.004554053,0.00006365937,0.0001295168,0.00002538852,0.000004279337,0.00002400293,0.0001094778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2234805,"threshold_uncertainty_score":0.9999955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1954418056517261,"score_gpt":0.4766128952790056,"score_spread":0.2811710896272795,"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."}}