{"id":"W2055561351","doi":"10.1111/j.1937-5956.2012.01385.x","title":"Coordinated Contract Decisions in a Make‐to‐Order Manufacturing Supply Chain: A Stochastic Programming Approach","year":2012,"lang":"en","type":"article","venue":"Production and Operations Management","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kruger (Canada); Université Laval; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Supply chain; Procurement; Order (exchange); Profitability index; Stochastic programming; Context (archaeology); Supply chain management; Build to order; Computer science; Operations research; Business; Integer programming; Production (economics); Industrial organization; Operations management; Microeconomics; Economics; Marketing; Mathematical optimization; Finance","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008653763,0.000274568,0.0002264911,0.0009579451,0.0004270067,0.0004915766,0.0001791583,0.00004872038,0.00012576],"category_scores_gemma":[0.0001551925,0.0002617859,0.00004434317,0.0008989394,0.00004499401,0.00112621,0.0003126868,0.0001588993,0.0001544122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009967524,"about_ca_system_score_gemma":0.000006527237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002316357,"about_ca_topic_score_gemma":0.0002351057,"domain_scores_codex":[0.9981506,0.0000265693,0.0004087871,0.0005450587,0.0002959153,0.0005729967],"domain_scores_gemma":[0.9994174,0.00001366193,0.00006673087,0.0003496296,0.00009362037,0.00005896355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002940801,0.0043446,0.01923492,0.0008030803,0.0004022012,0.00002343353,0.003209717,0.1594413,0.0001931351,0.2100293,0.01185306,0.5901712],"study_design_scores_gemma":[0.004624086,0.00008503853,0.1569638,0.0006611207,0.000532102,0.00003608156,0.01677481,0.1206157,0.0002103709,0.0007342875,0.696076,0.002686532],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7071801,0.0009333313,0.2018916,0.02324078,0.005181875,0.01534979,0.000007457189,0.001073042,0.04514201],"genre_scores_gemma":[0.9868585,0.00003361996,0.007381656,0.001611303,0.0007569291,0.0008857415,0.0000660454,0.00003711266,0.002369134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.684223,"threshold_uncertainty_score":0.9999834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349364040413937,"score_gpt":0.2414049402445458,"score_spread":0.2179112998404064,"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."}}