{"id":"W1987492098","doi":"10.1287/ited.1100.0049","title":"An In-Class Competition Introducing Inventory Management Concepts","year":2010,"lang":"en","type":"article","venue":"INFORMS Transactions on Education","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Newsvendor model; Competition (biology); Economic shortage; Computer science; Class (philosophy); Inventory management; Process (computing); Inventory theory; Concept inventory; Subject (documents); Operations research; Inventory control; Operations management; Economics; Marketing; Business; Supply chain; Artificial intelligence; Mathematics","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":[0.004945381,0.002113978,0.00167835,0.0008282649,0.0028554,0.004398872,0.003264773,0.003421441,0.05963743],"category_scores_gemma":[0.01244928,0.0007539838,0.001228387,0.0009172065,0.001102248,0.003024778,0.004104133,0.004967597,0.01310396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002108093,"about_ca_system_score_gemma":0.001990787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001104543,"about_ca_topic_score_gemma":0.003565406,"domain_scores_codex":[0.9976022,0.0006985061,0.0001386844,0.0006267247,0.0003830459,0.0005509405],"domain_scores_gemma":[0.9884723,0.004948481,0.0004014284,0.001108574,0.001661233,0.003407982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006255436,0.04186062,0.01612334,0.001336635,0.0001996512,0.003177504,0.01446085,0.01835371,0.03589392,0.03719062,0.5100585,0.3150893],"study_design_scores_gemma":[0.003041045,0.01825945,0.04513471,0.0005719207,0.0001434493,0.002291623,0.01449237,0.07489619,0.02650762,0.0708047,0.7432887,0.00056832],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7425972,0.0003424094,0.1102858,0.01123881,0.005276974,0.004563545,0.003994653,0.003315957,0.1183847],"genre_scores_gemma":[0.7546348,0.0004221339,0.08191311,0.003395266,0.001123988,0.004499813,0.004627058,0.000737161,0.1486466],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05963743,"threshold_uncertainty_score":0.1995071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008093644898608445,"score_gpt":0.271538651769697,"score_spread":0.2634450068710886,"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."}}