{"id":"W4319792512","doi":"10.1111/poms.13952","title":"Customers’ managerial expectations and suppliers’ asymmetric cost management","year":2023,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Business; Context (archaeology); Incentive; Upstream (networking); Industrial organization; Downstream (manufacturing); Microeconomics; Information asymmetry; Constraint (computer-aided design); Marketing; Economics; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004813177,0.0003283403,0.0002783105,0.000583569,0.0007831477,0.003063549,0.0005413105,0.001090968,0.003589974],"category_scores_gemma":[0.03009814,0.000351426,0.0002655858,0.000512885,0.0008985406,0.001752551,0.001074948,0.001291003,0.0003263101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001917656,"about_ca_system_score_gemma":0.0009055647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001854506,"about_ca_topic_score_gemma":0.001659924,"domain_scores_codex":[0.9953727,0.001979996,0.0003492407,0.0003842166,0.001480852,0.0004330262],"domain_scores_gemma":[0.9501398,0.0213599,0.02245232,0.002424296,0.002386437,0.001237257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001029856,0.001059016,0.8622342,0.0001912187,0.0002229391,0.001017161,0.01365282,0.01981228,0.01486102,0.0212874,0.001117308,0.06351477],"study_design_scores_gemma":[0.0001011366,0.00104309,0.9136079,0.00007129217,0.0001200973,0.0004657407,0.01586928,0.03566039,0.00705844,0.02273924,0.003038192,0.0002252467],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925529,0.00004770766,0.002073378,0.0003535475,0.000004108084,0.00001657342,0.00002165086,0.000009654556,0.004920456],"genre_scores_gemma":[0.9995831,0.00001241805,0.0001649603,0.00003697614,0.000004343294,0.000003841053,0.000007667171,0.000001041965,0.0001856641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004813177,"threshold_uncertainty_score":0.02545482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989650580184543,"score_gpt":0.2395363820600912,"score_spread":0.2196398762582458,"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."}}