{"id":"W2003839915","doi":"10.1016/j.omega.2010.04.003","title":"Optimal ordering and pricing decisions for a target oriented newsvendor","year":2010,"lang":"en","type":"article","venue":"Omega","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Project 211; Southwestern University of Finance and Economics","keywords":"Newsvendor model; Profit margin; Revenue; Profit (economics); Microeconomics; Economics; Economic order quantity; Order (exchange); Margin (machine learning); Computer science; Business; Supply chain; Marketing; Finance","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002502526,0.001056153,0.002369333,0.001232796,0.0008987966,0.004351981,0.001059786,0.003112208,0.006409895],"category_scores_gemma":[0.007000318,0.001477224,0.0007304828,0.001161423,0.001394721,0.003459206,0.001001333,0.002062033,0.0006365664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217254,"about_ca_system_score_gemma":0.001448755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004365911,"about_ca_topic_score_gemma":0.002183211,"domain_scores_codex":[0.9993079,0.0003339967,0.00003654798,0.0001049141,0.00007358644,0.0001429806],"domain_scores_gemma":[0.9961923,0.002860294,0.0002295326,0.0001037086,0.0002657384,0.0003483003],"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":[0.00191917,0.0003059673,0.001535499,0.0001804548,0.00009946688,0.0007742955,0.0003017821,0.871666,0.005586018,0.09337778,0.003770573,0.02048305],"study_design_scores_gemma":[0.00007446105,0.0001172131,0.000290083,0.000008416651,0.0000307202,0.00004183524,0.00007451752,0.9800678,0.0004864193,0.01845793,0.000326716,0.00002377874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7057487,0.0006460216,0.2598177,0.003269153,0.0001510893,0.0001839715,0.0003472266,0.0003899334,0.02944607],"genre_scores_gemma":[0.9679836,0.000360909,0.0193677,0.00009169141,0.00006848926,0.0000360237,0.0001162307,0.00006255602,0.0119127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006409895,"threshold_uncertainty_score":0.02144319,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01746695686166047,"score_gpt":0.2344742324395724,"score_spread":0.2170072755779119,"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."}}