{"id":"W2037327357","doi":"10.1016/j.omega.2006.04.002","title":"Evaluating manufacturer's buyback policies in a single-period two-echelon framework under price-dependent stochastic demand","year":2006,"lang":"en","type":"article","venue":"Omega","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Newsvendor model; Profitability index; Incentive; Profit (economics); Microeconomics; Business; Economics; Profit maximization; Finance; Marketing; Supply chain","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":[0.008249098,0.001506846,0.00296405,0.0012757,0.0006628629,0.004854838,0.002250333,0.004192741,0.003713713],"category_scores_gemma":[0.01741188,0.002105014,0.001168129,0.00113046,0.001743782,0.004534457,0.001613566,0.001919404,0.0003147007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004949782,"about_ca_system_score_gemma":0.003014938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241942,"about_ca_topic_score_gemma":0.01209921,"domain_scores_codex":[0.9981045,0.0009629431,0.00007662056,0.0002493212,0.0001679929,0.0004386494],"domain_scores_gemma":[0.9826424,0.01466316,0.001117317,0.0003139152,0.0005896936,0.0006734862],"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":[0.0002774014,0.00007088595,0.0009242939,0.00004300673,0.00004680305,0.00007840944,0.00002074076,0.9922231,0.0002711975,0.00452664,0.0001723195,0.001345271],"study_design_scores_gemma":[0.00001780002,0.00004497686,0.0003227502,0.000003793722,0.00001526778,0.000007063564,0.00002382762,0.9981951,0.00008884371,0.001243588,0.00002807981,0.000008920662],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.906339,0.001072365,0.08184662,0.001245094,0.00008022231,0.0001356756,0.0004678713,0.0002381439,0.008575032],"genre_scores_gemma":[0.993542,0.0002150566,0.004202954,0.00003822132,0.0000257222,0.00002329014,0.0001215424,0.00002993967,0.001801335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0241942,"threshold_uncertainty_score":0.04810679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03899440469269302,"score_gpt":0.2869535539557287,"score_spread":0.2479591492630357,"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."}}