{"id":"W2939408360","doi":"10.33423/jabe.v20i2.333","title":"Applications of Stochastic Simulations in Inventory Management Optimization: Cost Accounting Perspectives","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cost accounting; Profitability index; Inventory management; Management accounting; Computer science; Inventory theory; Operations research; Inventory cost; Software; Business; Economics; Operations management; Accounting; Marketing; Engineering; Finance; Supply chain","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00122893,0.000879155,0.0006952494,0.0007763559,0.0003742129,0.001768235,0.0008972061,0.001201892,0.002792549],"category_scores_gemma":[0.00701712,0.0003906571,0.0005493341,0.001591074,0.0009126077,0.001618758,0.001042594,0.001246412,0.0002738062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102623,"about_ca_system_score_gemma":0.001322248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006901599,"about_ca_topic_score_gemma":0.004336823,"domain_scores_codex":[0.9990255,0.0005484242,0.0000461014,0.00005208869,0.0002759936,0.00005194161],"domain_scores_gemma":[0.9957303,0.003433448,0.0002578961,0.0002120025,0.0002914253,0.00007489626],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001404577,0.00002194919,0.0003022696,0.00002627766,0.00001075336,0.00002294349,0.00001720536,0.9474491,0.0002302456,0.04324986,0.0002689321,0.008386411],"study_design_scores_gemma":[0.000003366604,0.000005755998,0.00006049405,0.000008340376,0.000002614895,0.000007880567,0.000007498464,0.9787238,0.000180893,0.02026443,0.0007303566,0.000004589353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04563401,0.001784552,0.918256,0.003194989,0.0001548805,0.00007163807,0.0001422232,0.0003405019,0.03042113],"genre_scores_gemma":[0.800644,0.005023864,0.1854839,0.0003059267,0.00032097,0.0001590657,0.0001313251,0.0001807484,0.007750211],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006901599,"threshold_uncertainty_score":0.01372284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241223762838828,"score_gpt":0.226238053179504,"score_spread":0.2138258155511157,"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."}}