{"id":"W2154692792","doi":"10.1287/opre.1100.0810","title":"Dynamic Supplier Contracts Under Asymmetric Inventory Information","year":2010,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Purchasing; Supply chain; Adverse selection; Business; Order (exchange); Economic order quantity; Downstream (manufacturing); Lead time; Value (mathematics); Microeconomics; Information asymmetry; Operations research; Computer science; Economics; Marketing; Actuarial science; 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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00150614,0.0001231052,0.0001072249,0.001454974,0.0006757435,0.001315434,0.000378629,0.00009499202,0.002455604],"category_scores_gemma":[0.0004282991,0.0001149184,0.00004877909,0.001392236,0.0001306753,0.00345603,0.0002457658,0.0005691908,0.005835167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008168351,"about_ca_system_score_gemma":0.00007416129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008447636,"about_ca_topic_score_gemma":0.001937089,"domain_scores_codex":[0.9983526,0.00002683969,0.0002800896,0.0001976333,0.0007119623,0.00043085],"domain_scores_gemma":[0.998898,0.00004432664,0.00003023363,0.000405298,0.0005896353,0.00003247978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003249024,0.0003275847,0.002109356,0.0001136863,0.00005447456,0.000006042635,0.0001718906,0.004512164,0.003955937,0.8669486,0.09818318,0.02358456],"study_design_scores_gemma":[0.0007411136,0.00001787692,0.01101758,0.00001078358,0.00001231339,0.000001355969,0.0008869065,0.1738782,0.00008337324,0.00227317,0.8108359,0.0002413817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5400118,0.00004903234,0.002169101,0.0100906,0.001837452,0.001563609,0.000008531838,0.0002243707,0.4440455],"genre_scores_gemma":[0.9927548,0.00001166,0.0002845619,0.002018308,0.0003869408,0.0001526756,0.0002380668,0.00001794362,0.004135029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8646755,"threshold_uncertainty_score":0.9997213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03740602588520761,"score_gpt":0.315609858055762,"score_spread":0.2782038321705543,"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."}}