{"id":"W2922647126","doi":"","title":"You have troubles my friend: That starts with T and that rhymes with B and that stands for Business Simulations","year":2019,"lang":"en","type":"article","venue":"Developments in Business Simulation and Experiential Learning: Proceedings of the Annual ABSEL conference","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Variety (cybernetics); Order (exchange); Set (abstract data type); Psychology; Computer science; Mathematics education; Business; Artificial intelligence; History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002921717,0.0002810143,0.0002911467,0.0002965649,0.0003513273,0.0005615093,0.0001612887,0.00008042699,0.0000397324],"category_scores_gemma":[0.0001246561,0.0002035055,0.00001622571,0.0004440679,0.0001526071,0.002133092,0.000234266,0.0001103588,6.447312e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002072243,"about_ca_system_score_gemma":0.00004798652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009376036,"about_ca_topic_score_gemma":0.00004575295,"domain_scores_codex":[0.9986411,0.000007154882,0.0002417864,0.0004670233,0.0003682621,0.000274659],"domain_scores_gemma":[0.9984123,0.00005961104,0.0004434863,0.00008930111,0.0009720164,0.0000233474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007779732,0.00006106164,0.9835222,0.0006949378,0.000040021,1.896269e-7,0.006738853,0.002948625,0.0001061539,0.003167671,0.00006520443,0.001877148],"study_design_scores_gemma":[0.003038784,0.0000449262,0.9147688,0.0006854117,0.00007704422,0.000001928109,0.02782984,0.0183868,0.0001774573,0.0003941502,0.0340335,0.0005613508],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957073,0.00003501582,0.0007711351,0.0003690907,0.0001828171,0.0008312399,0.000004615371,0.0000469716,0.00205181],"genre_scores_gemma":[0.9974955,0.00002901747,0.0005771167,0.0000901426,0.00005634687,0.00003460737,0.00004550108,0.00003091491,0.001640906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06875335,"threshold_uncertainty_score":0.8298712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02472043328728478,"score_gpt":0.2470213258972477,"score_spread":0.2223008926099629,"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."}}