{"id":"W2593157635","doi":"","title":"An Agent-Directed Multisimulation Framework for Management Simulation Games","year":2009,"lang":"en","type":"article","venue":"Annual Simulation Symposium","topic":"Organizational Management and Leadership","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Multi-agent system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001270036,0.001001426,0.0009410734,0.0006949588,0.000949821,0.00153887,0.002899461,0.001240334,0.006187065],"category_scores_gemma":[0.00270227,0.0006805401,0.001060034,0.0005032876,0.0009782844,0.001098393,0.002112262,0.00170756,0.0007569264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001350226,"about_ca_system_score_gemma":0.002253341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01476622,"about_ca_topic_score_gemma":0.01471801,"domain_scores_codex":[0.9993941,0.0003193604,0.00002943151,0.00005524569,0.0001450283,0.00005685399],"domain_scores_gemma":[0.9992704,0.000396907,0.00005062022,0.00005663484,0.0001190941,0.000106345],"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":[0.00003035419,0.00004471408,0.0001506225,0.00003985127,0.00002734684,0.00005534538,0.0000995513,0.7995223,0.0005817285,0.1904706,0.0009624934,0.008015147],"study_design_scores_gemma":[0.00001074098,0.000006644253,0.00001118168,0.000005515229,0.000004973289,0.000006465948,0.000005949796,0.979311,0.00009424382,0.01892029,0.001618679,0.00000426846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003353174,0.00007098205,0.9895021,0.0001685831,0.00004452963,0.00008216099,0.00007561414,0.0003824087,0.006320432],"genre_scores_gemma":[0.2918517,0.0003446352,0.6982641,0.0001797208,0.00006060723,0.0007315521,0.0002643908,0.0003431362,0.0079602],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01476622,"threshold_uncertainty_score":0.02936053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535298170705751,"score_gpt":0.296399839547114,"score_spread":0.2710468578400564,"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."}}