{"id":"W2032790871","doi":"10.1016/j.ijpe.2011.04.021","title":"Coordination in multi-echelon supply chain under supply and demand uncertainty","year":2011,"lang":"en","type":"article","venue":"International Journal of Production Economics","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":164,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"Program for New Century Excellent Talents in University; Ministry of Education of the People's Republic of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Supply chain; Business; Bargaining problem; Industrial organization; Supply and demand; Microeconomics; Supply chain management; Economics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008104955,0.0001167251,0.0001509615,0.0006349269,0.00004018389,0.0001167691,0.0002289381,0.00004501917,0.000204155],"category_scores_gemma":[0.0001073851,0.0001170935,0.00005472347,0.00009216006,0.00005286236,0.001519646,0.00008538433,0.0001287377,0.00002090604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001826323,"about_ca_system_score_gemma":0.0000232473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002789813,"about_ca_topic_score_gemma":0.0003957925,"domain_scores_codex":[0.9990702,0.00001470981,0.0004813736,0.0001890848,0.0001204796,0.0001241241],"domain_scores_gemma":[0.9991295,0.00001240815,0.0004750016,0.00008756807,0.0002804232,0.00001513682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001243036,0.001595798,0.7132494,0.0001548877,0.0006863161,0.00007194854,0.002360797,0.03440756,0.001752881,0.1547964,0.01414809,0.07553283],"study_design_scores_gemma":[0.00866448,0.0001457015,0.6687229,0.000345202,0.0001536767,0.0002208093,0.007221493,0.07630014,0.002720714,0.06329751,0.1711428,0.001064587],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871839,0.0001042119,0.001286981,0.006900279,0.003306188,0.000169788,0.000001845996,0.00001517264,0.001031622],"genre_scores_gemma":[0.9967436,0.0001744367,0.0007222884,0.0008026988,0.001097451,0.000005278552,0.00001139238,0.00001442911,0.0004284123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1569947,"threshold_uncertainty_score":0.4774936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04537268757094934,"score_gpt":0.2419355817788907,"score_spread":0.1965628942079413,"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."}}