{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001048072,0.0001947686,0.0001380081,0.0008693443,0.0004716697,0.0006727341,0.0005815963,0.00002830765,0.0001358607],"category_scores_gemma":[0.00003507079,0.000192846,0.0000391117,0.001329547,0.0002901114,0.001992507,0.0004118524,0.0000804893,0.0001675503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539323,"about_ca_system_score_gemma":0.000007113718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006090425,"about_ca_topic_score_gemma":0.00003035005,"domain_scores_codex":[0.9981127,0.000006810263,0.0002311101,0.0005548294,0.0006243236,0.0004702322],"domain_scores_gemma":[0.9994068,0.000006255373,0.0001276213,0.0003562847,0.0000700124,0.00003299104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000009110503,0.00008439342,0.0115051,0.00007466123,0.000007729063,0.00001562249,0.00003539876,0.00005065533,0.00008441366,0.9054897,0.009304427,0.07333878],"study_design_scores_gemma":[0.001586247,0.00007765777,0.3475565,0.0001277788,0.0001039137,0.000002559417,0.00200111,0.4172456,0.00005530601,0.05797697,0.1722924,0.0009739556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2984125,0.0001257191,0.004540707,0.01642088,0.001240952,0.001220227,0.000001366541,0.0005160954,0.6775215],"genre_scores_gemma":[0.9870932,0.00002191707,0.000327617,0.007026285,0.0002292651,0.00001957218,0.00001331137,0.00001107429,0.005257835],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8475127,"threshold_uncertainty_score":0.7864031,"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."}}