{"id":"W2032222374","doi":"10.1108/13598540210447782","title":"Simulations and supply chains: strategies for teaching supply chain management","year":2002,"lang":"en","type":"article","venue":"Supply Chain Management An International Journal","topic":"Business Strategies and Innovation","field":"Business, Management and Accounting","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Supply chain; Supply chain management; Plan (archaeology); Computer science; Process management; Service management; Engineering management; Business; Knowledge management; Marketing; Engineering","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008996061,0.000465351,0.000312278,0.001410501,0.0009375646,0.003522524,0.0009033823,0.00010942,0.001241617],"category_scores_gemma":[0.00003644752,0.0004611379,0.0001555149,0.0004106302,0.000127173,0.005859677,0.0003496297,0.0003832623,0.00004802333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001479731,"about_ca_system_score_gemma":0.00001314532,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001084944,"about_ca_topic_score_gemma":0.0000818665,"domain_scores_codex":[0.9970388,0.00003621238,0.0008199252,0.0006047401,0.000858345,0.000641971],"domain_scores_gemma":[0.9985216,0.00005252738,0.0005310968,0.0003298829,0.0005103836,0.0000545497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001148585,0.0003442575,0.006040446,0.0002412643,0.0004548926,0.00009964312,0.0003779801,0.003951087,0.00008195427,0.9056293,0.01562689,0.06703736],"study_design_scores_gemma":[0.006858837,0.0001521309,0.04803103,0.0005639943,0.0003547254,0.00008309406,0.01680185,0.4076654,0.000008814319,0.107029,0.4108922,0.001558825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5878259,0.0007108616,0.1558524,0.0524263,0.0102234,0.005362235,0.0002583167,0.001016543,0.1863241],"genre_scores_gemma":[0.9836008,0.0004002826,0.005243391,0.00310696,0.003950158,0.0001110705,0.000474544,0.00008219093,0.003030626],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7986003,"threshold_uncertainty_score":0.9997841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0231977051061061,"score_gpt":0.2631722516480784,"score_spread":0.2399745465419723,"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."}}