{"id":"W2801225405","doi":"10.1139/tcsme-2003-0004","title":"MULTISTAGE PRODUCTION WITH PROBABILISTIC DEMAND AND FINITE RESOURCE CAPACITY","year":2003,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Production (economics); Probabilistic logic; Computer science; Sensitivity (control systems); Mathematical optimization; Key (lock); Resource (disambiguation); Workstation; Operations research; Plan (archaeology); Engineering; Mathematics; Economics; Microeconomics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009973461,0.001023621,0.001341611,0.0006980285,0.0006435031,0.001453837,0.002551979,0.001559571,0.004602705],"category_scores_gemma":[0.001550425,0.001259566,0.001239715,0.001241208,0.0009666635,0.001763017,0.001118085,0.001228842,0.0006384593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503884,"about_ca_system_score_gemma":0.001302527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007200827,"about_ca_topic_score_gemma":0.006942612,"domain_scores_codex":[0.9992208,0.0002028239,0.00003823614,0.0001607599,0.0002374257,0.0001399552],"domain_scores_gemma":[0.9992197,0.000398009,0.0001859148,0.00005104682,0.00009802162,0.00004732391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002204375,0.00001266473,0.0001337492,0.00003346307,0.000007116639,0.0001222218,0.00002126811,0.9886147,0.0008556708,0.008622429,0.0001239861,0.001430706],"study_design_scores_gemma":[0.000005144907,0.00001619172,0.00008599585,0.000003067144,0.000004810453,0.00001802244,0.000007833899,0.9964096,0.0002530306,0.002969413,0.0002203697,0.000006554694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04571364,0.0002067614,0.9436674,0.0002523891,0.00003226947,0.0001110979,0.0004406966,0.0002279879,0.009347737],"genre_scores_gemma":[0.9343318,0.0003842226,0.0538847,0.00003876819,0.00002154735,0.0002978404,0.0002290483,0.00006106944,0.01075092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007200827,"threshold_uncertainty_score":0.01539755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001918555214341,"score_gpt":0.1727601410373883,"score_spread":0.1627409554852449,"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."}}