{"id":"W4312800235","doi":"10.1016/j.ifacol.2022.10.021","title":"Manufacturing-remanufacturing systems with uncertain return: production control with estimation-in-the-loop","year":2022,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Remanufacturing; Kalman filter; Production (economics); Rate of return; Computer science; Control (management); Control system; Econometrics; Control theory (sociology); Economics; Engineering; Microeconomics; Manufacturing engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001165479,0.0003995731,0.0003574173,0.0004893715,0.0007371292,0.0004374709,0.0005699642,0.00004220645,0.0001972192],"category_scores_gemma":[0.00006584819,0.0002770539,0.00005986302,0.0007278041,0.00007915078,0.0008849975,0.0001511295,0.0004757858,0.00002885198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509782,"about_ca_system_score_gemma":0.00005044103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001597184,"about_ca_topic_score_gemma":0.0004020178,"domain_scores_codex":[0.9971782,0.00008562802,0.0003895617,0.0006771478,0.00103716,0.0006323333],"domain_scores_gemma":[0.9987904,0.00009297991,0.0003704309,0.0006211862,0.0001054959,0.00001949536],"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":[0.000671208,0.0002779102,0.005418069,0.00080624,0.0001500396,0.0005830989,0.0006032522,0.987944,0.00005027662,0.0009562543,0.0002861499,0.002253491],"study_design_scores_gemma":[0.016905,0.0008349468,0.0258547,0.0007207916,0.001207078,0.0005992197,0.1434194,0.6984457,0.0004684856,0.001073662,0.1065639,0.003907129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692733,0.0002081128,0.002626285,0.01963105,0.0007002023,0.003869555,0.0000130159,0.0004029685,0.003275466],"genre_scores_gemma":[0.9915279,0.000002509021,0.002756864,0.001968493,0.000774639,0.0007003474,0.0001540409,0.00007377205,0.002041489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2894983,"threshold_uncertainty_score":0.9999682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008800884167161288,"score_gpt":0.1995560393847964,"score_spread":0.1907551552176351,"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."}}