{"id":"W2090486231","doi":"10.1287/opre.48.5.761.12406","title":"Manufacturing to Order with Random Yield and Costly Inspection","year":2000,"lang":"en","type":"article","venue":"Operations Research","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Production (economics); Order (exchange); Yield (engineering); Key (lock); Operations research; Mathematical optimization; Mathematics; Economics; Microeconomics","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004888968,0.0000838608,0.00008131849,0.0003392393,0.0006776791,0.0007351266,0.0001130497,0.00002551392,0.003637277],"category_scores_gemma":[0.0001210985,0.00006721962,0.00001160542,0.0005010958,0.00005474859,0.000665913,0.00007973258,0.0001423639,0.0009808114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003438792,"about_ca_system_score_gemma":0.00001774519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001863816,"about_ca_topic_score_gemma":0.003041379,"domain_scores_codex":[0.999056,0.00001513998,0.0001083814,0.0002405947,0.00033324,0.0002466218],"domain_scores_gemma":[0.9995139,0.00003500727,0.000005392139,0.0001850085,0.0002383504,0.000022297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00270738,0.001036694,0.01142444,0.0006316009,0.0003104642,0.000107398,0.001937526,0.1245308,0.003508727,0.0493333,0.5224253,0.2820464],"study_design_scores_gemma":[0.00176494,0.0000884932,0.008700483,0.00009859191,0.00001694052,0.000002358493,0.00116235,0.0172679,0.001021962,0.0001684194,0.9694064,0.000301168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8269228,0.00002824077,0.0006014336,0.005244222,0.00008130316,0.0008149216,9.392944e-7,0.0001005107,0.1662056],"genre_scores_gemma":[0.9805965,0.00004701381,0.000375944,0.001325563,0.0006114482,0.0001600202,0.00001359776,0.00001836296,0.0168515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4469811,"threshold_uncertainty_score":0.999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535474151393696,"score_gpt":0.2981907826428069,"score_spread":0.2446433675034372,"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."}}