{"id":"W2154459378","doi":"10.1287/mnsc.1090.1100","title":"Inventory Dynamics and Supply Chain Coordination","year":2009,"lang":"en","type":"article","venue":"Management Science","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Southern Methodist University; University of Washington; Washington University in St. Louis; University of Southern California","keywords":"Newsvendor model; Incentive; Supply chain; Microeconomics; Distortion (music); Product (mathematics); Inventory theory; Competition (biology); Industrial organization; Perpetual inventory; Business; Subsidy; Inventory control; Economics; Marketing; Computer science","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":[0.001902843,0.0003884795,0.0006213218,0.0007309773,0.0009841875,0.002633543,0.001046881,0.001545585,0.00867839],"category_scores_gemma":[0.006201298,0.0004931293,0.000390374,0.001118093,0.002491694,0.004566714,0.001544107,0.001075446,0.000679887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003272301,"about_ca_system_score_gemma":0.001885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785242,"about_ca_topic_score_gemma":0.001810889,"domain_scores_codex":[0.9984314,0.0004998649,0.00008555107,0.0003385279,0.0003935165,0.0002511035],"domain_scores_gemma":[0.9974967,0.001019222,0.000705211,0.0002589787,0.0003034695,0.0002164001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003303889,0.00001825434,0.0005130321,0.00003105899,0.00001515618,0.0001137856,0.0002053476,0.09952404,0.0004811195,0.88805,0.001234356,0.009780806],"study_design_scores_gemma":[0.00004214373,0.00002436025,0.0005469379,0.00003023102,0.000008860872,0.00007321278,0.0001525837,0.1356794,0.0002321752,0.852896,0.01029443,0.00001953541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.190371,0.002724105,0.6163085,0.01194971,0.000289734,0.0001772893,0.0004397244,0.0003461385,0.1773938],"genre_scores_gemma":[0.9691353,0.001158608,0.0147935,0.0002292006,0.0000992445,0.00009744251,0.00008437805,0.00002888948,0.01437346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00867839,"threshold_uncertainty_score":0.02903205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097337230196375,"score_gpt":0.2174945847832266,"score_spread":0.2065212124812629,"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."}}