{"id":"W2289686841","doi":"10.6126/apmr.2007.12.5.02","title":"Capacity Control and Distribution Problem for Manufactures in Supply Chain Networks","year":2007,"lang":"en","type":"article","venue":"Asia Pacific Management Review","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Purchasing; Procurement; Business; Industrial organization; Revenue; Production (economics); Supply chain management; Finished good; Service (business); Revenue management; Production planning; Operations research; Computer science; Marketing; Economics; Microeconomics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002898393,0.0003599757,0.0005023769,0.0002451239,0.0001686487,0.0001882967,0.0002728019,0.00007918402,0.0001361149],"category_scores_gemma":[0.00003751034,0.0003232269,0.0001472086,0.0005047301,0.00007336109,0.0004919231,0.0001476993,0.0001559601,0.00003891099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000978674,"about_ca_system_score_gemma":0.000003045382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008928688,"about_ca_topic_score_gemma":0.0001357892,"domain_scores_codex":[0.9977281,0.00002948118,0.0006935158,0.0005772557,0.0002926007,0.000679044],"domain_scores_gemma":[0.9991596,0.00006120303,0.0002976566,0.000382994,0.00006285134,0.00003568191],"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":[0.0001442314,0.0002865511,0.01625497,0.0215565,0.0002054773,0.0000555113,0.00002709638,0.000108482,0.000004083618,0.4564934,0.2091043,0.2957594],"study_design_scores_gemma":[0.001472393,0.00002052646,0.02198519,0.00155141,0.0002328016,0.000001635309,0.0002078444,0.00256309,0.000002048066,0.003409511,0.9681396,0.000413871],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004575087,0.07944813,0.3477562,0.0332531,0.002626369,0.04090372,0.00009625232,0.001042453,0.4902987],"genre_scores_gemma":[0.9797003,0.01098079,0.0005552045,0.005686027,0.0005669853,0.0007013397,0.0005113935,0.00004909909,0.001248897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9751252,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261448958510842,"score_gpt":0.2225078842955609,"score_spread":0.2098933947104525,"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."}}