{"id":"W2104289244","doi":"10.1080/07408170208928929","title":"The value of information used in inventory control of a make-to-order inventory-production system","year":2002,"lang":"en","type":"article","venue":"IIE Transactions","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Waterloo; Dalhousie University","funders":"","keywords":"Inventory control; Production (economics); Value (mathematics); Order (exchange); Economic order quantity; Inventory valuation; Perpetual inventory; Control (management); Operations research; Operations management; Inventory theory; Computer science; Business; Mathematics; Statistics; Engineering; Economics; Microeconomics; Marketing; Supply chain; Artificial intelligence","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":[0.002939258,0.0008185024,0.0009058373,0.0008965801,0.0007866409,0.004019551,0.0009772498,0.001353449,0.001226546],"category_scores_gemma":[0.0131836,0.0005442317,0.000496131,0.001298674,0.002029234,0.005910696,0.0009651493,0.001232629,0.0001131383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002087837,"about_ca_system_score_gemma":0.0008776735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487428,"about_ca_topic_score_gemma":0.000824644,"domain_scores_codex":[0.9977314,0.00104287,0.00009095837,0.0001896741,0.0006916607,0.000253525],"domain_scores_gemma":[0.9866774,0.01171006,0.0005987134,0.0003394368,0.0005034053,0.000171029],"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":[0.0003608167,0.0000857224,0.002225197,0.0002112423,0.000116452,0.0003560013,0.0001373511,0.860375,0.002808922,0.102279,0.0004709026,0.03057344],"study_design_scores_gemma":[0.00001997667,0.0001885915,0.0009108694,0.00004758954,0.00006823469,0.0000790346,0.00006899499,0.9481983,0.002610099,0.04691305,0.0008625715,0.00003272793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3300687,0.003865891,0.6380576,0.002093903,0.0001876905,0.0001181091,0.000243496,0.0001818918,0.02518264],"genre_scores_gemma":[0.9859957,0.000607735,0.01250536,0.00003655766,0.00004772748,0.00001826986,0.00002530599,0.00001622512,0.0007470247],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004019551,"threshold_uncertainty_score":0.01554447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01743737627674885,"score_gpt":0.2008088617470181,"score_spread":0.1833714854702692,"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."}}