{"id":"W2006554832","doi":"10.1016/j.ijpe.2006.12.054","title":"An order quantity negotiation model for distributor-driven supply chains","year":2007,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":46,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; University of Toronto","funders":"","keywords":"Distributor; Negotiation; Supply chain; Profit (economics); Business; Computer science; Order (exchange); Process (computing); Industrial organization; Microeconomics; Production (economics); Operations research; Economics; Marketing; Mathematics; Finance","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":[0.002549298,0.001065009,0.002444902,0.0009952381,0.001641154,0.004877995,0.003826279,0.004199425,0.01572655],"category_scores_gemma":[0.006173492,0.001553444,0.001371973,0.001994049,0.001683739,0.00482809,0.001939658,0.002405971,0.001294371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003362484,"about_ca_system_score_gemma":0.002903072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0125157,"about_ca_topic_score_gemma":0.0069116,"domain_scores_codex":[0.9987698,0.0005200789,0.00006157602,0.0002283877,0.0002180157,0.0002021507],"domain_scores_gemma":[0.9977527,0.001450784,0.0001625919,0.000111325,0.0002909503,0.0002316152],"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":[0.0001574388,0.0001047455,0.0002745983,0.00008570648,0.00003560899,0.0002118252,0.0001812683,0.874813,0.0007329274,0.1164254,0.001379266,0.005598308],"study_design_scores_gemma":[0.00003146882,0.00001957866,0.00003691935,0.000006534121,0.000009956106,0.00001528314,0.00001829302,0.9818131,0.00005208018,0.0173931,0.0005926569,0.00001117845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09312402,0.001044089,0.853307,0.002497634,0.0002832827,0.0003765336,0.0007783549,0.0003918479,0.0481972],"genre_scores_gemma":[0.9112661,0.0008223425,0.05250324,0.0002050317,0.0001212083,0.0002831724,0.0003352445,0.0001349385,0.03432874],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01572655,"threshold_uncertainty_score":0.05261052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319480246618614,"score_gpt":0.2756564525079844,"score_spread":0.243708427846123,"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."}}