{"id":"W2048612773","doi":"10.1080/07408170304351","title":"Managing Demand to Optimize Production Costs","year":2003,"lang":"en","type":"article","venue":"IIE Transactions","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"University of Louisville","keywords":"Production (economics); Economics; Product (mathematics); Time horizon; Demand forecasting; Microeconomics; Derived demand; Aggregate demand; Demand management; Control (management); Demand patterns; Monotone polygon; Industrial organization; Econometrics; Demand curve; Operations management; Mathematics; Monetary economics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002781479,0.0001501414,0.0001204388,0.000329333,0.0003361337,0.0001807674,0.0001187856,0.0000332509,0.001545338],"category_scores_gemma":[0.00002956451,0.0001561675,0.00007674861,0.0005839923,0.00002448715,0.000760493,0.000007954252,0.00009805321,0.0008265488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000782399,"about_ca_system_score_gemma":0.000008266567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001203989,"about_ca_topic_score_gemma":0.0001308949,"domain_scores_codex":[0.9990289,0.00001281973,0.0001853346,0.000316008,0.0001788348,0.0002781123],"domain_scores_gemma":[0.999599,0.00001008086,0.0000459582,0.0002535376,0.00006657837,0.00002481293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004409813,0.002039158,0.002988997,0.001037813,0.000717334,0.00008709358,0.001233668,0.4007591,0.005661833,0.1725362,0.2179117,0.1945861],"study_design_scores_gemma":[0.0007273668,0.00001725489,0.0008720993,0.00007105792,0.0001750156,0.000006462316,0.001190955,0.004252985,0.001260576,0.003009465,0.9878924,0.0005243649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02802267,0.0001179438,0.6183106,0.01416197,0.004906914,0.001446458,0.000002515676,0.0007043951,0.3323266],"genre_scores_gemma":[0.9881284,0.00002255588,0.001500271,0.002696968,0.0004131979,0.0001220106,0.000006467476,0.0000343297,0.007075849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9601057,"threshold_uncertainty_score":0.9999514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955066143324833,"score_gpt":0.2227023180082883,"score_spread":0.2031516565750399,"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."}}