{"id":"W2793902665","doi":"10.1287/ited.2017.0190","title":"Using Homemade, Short, Fictional Cases for Teaching the Theory of Constraints","year":2018,"lang":"en","type":"article","venue":"INFORMS Transactions on Education","topic":"Operations Management Techniques","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Deliberation; Reuse; Computer science; Advice (programming); Focus (optics); Operations research; Process management; Engineering management; Knowledge management; Business; Engineering; Political science","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":[0.008313715,0.0008977601,0.0003986965,0.002049848,0.001735445,0.00298514,0.002990231,0.001981789,0.01243861],"category_scores_gemma":[0.05180341,0.000527305,0.000525215,0.002084883,0.003129806,0.003830665,0.003150386,0.002239535,0.001492423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00285604,"about_ca_system_score_gemma":0.001473273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007189661,"about_ca_topic_score_gemma":0.002788894,"domain_scores_codex":[0.9904461,0.00730864,0.0003946632,0.0005037003,0.001042578,0.000304242],"domain_scores_gemma":[0.9135634,0.07705367,0.001826351,0.004141394,0.002283778,0.001131402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004975842,0.005195514,0.008947778,0.002758547,0.00008401275,0.005365373,0.05198933,0.05223611,0.01683787,0.1885246,0.0455529,0.6220104],"study_design_scores_gemma":[0.000612967,0.002842129,0.009570931,0.002914057,0.00007875251,0.005399604,0.03716148,0.08582624,0.06805737,0.1945698,0.5925241,0.0004427521],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3402275,0.0008317796,0.5814048,0.004702359,0.0004640416,0.005624741,0.0007359698,0.00107267,0.06493608],"genre_scores_gemma":[0.4705509,0.0007629715,0.5163841,0.0005258178,0.0001023098,0.002676478,0.0005869329,0.0001943901,0.008216077],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01243861,"threshold_uncertainty_score":0.04396766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1365195232101287,"score_gpt":0.4368118533737699,"score_spread":0.3002923301636412,"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."}}