{"id":"W2507008375","doi":"10.1177/0273475316653542","title":"Using Simulations in the Marketing Classroom","year":2016,"lang":"en","type":"article","venue":"Journal of Marketing Education","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Marketing; Computer science; Mathematics education; Business; Psychology","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":[0.01293843,0.0001325849,0.0001495639,0.0006367298,0.0001675506,0.000241384,0.0003582486,0.00005079455,0.0002707158],"category_scores_gemma":[0.007481797,0.00008144147,0.00008712845,0.0006266373,0.00002960997,0.001221499,0.00005303547,0.0001534097,0.0000141959],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000132048,"about_ca_system_score_gemma":0.0001559312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004538584,"about_ca_topic_score_gemma":0.00003341521,"domain_scores_codex":[0.9983077,0.000322569,0.0006132315,0.0001492784,0.0003822549,0.00022496],"domain_scores_gemma":[0.9966415,0.001758204,0.001003592,0.0002098014,0.0003751794,0.0000117506],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001063038,0.0009450142,0.5473285,0.0005852955,0.00006038962,0.000006909928,0.0004188012,0.0002594787,0.008759631,0.002775948,0.09704416,0.3407528],"study_design_scores_gemma":[0.0007223623,0.000007512104,0.8382891,0.001300503,0.0001235167,0.00002303332,0.002571558,0.001255306,0.00001344137,0.002966259,0.1524556,0.0002718107],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726228,0.0001011477,0.0004266081,0.007591559,0.001741455,0.0002128904,3.581225e-7,0.00001713767,0.01728605],"genre_scores_gemma":[0.9941227,0.00002012285,0.001564485,0.0008675648,0.002941136,0.000004420891,0.000002601496,0.00001942144,0.000457543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.340481,"threshold_uncertainty_score":0.895695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02991589507989587,"score_gpt":0.2879162566655637,"score_spread":0.2580003615856679,"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."}}