{"id":"W4289890653","doi":"10.1007/s11750-022-00638-0","title":"The robust multi-plant capacitated lot-sizing problem","year":2022,"lang":"en","type":"article","venue":"Top","topic":"Supply Chain and Inventory Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Group for Research in Decision Analysis; HEC Montréal","funders":"","keywords":"Sizing; Mathematical optimization; Robust optimization; Computer science; Duality (order theory); Integer programming; Production (economics); Mathematics","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":[0.001347514,0.001227454,0.001727241,0.0006378389,0.0004239846,0.001746245,0.001670686,0.00209321,0.004382657],"category_scores_gemma":[0.003666854,0.0009261576,0.000796544,0.001068988,0.0009308751,0.001448792,0.001038716,0.001182058,0.0004309371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001287776,"about_ca_system_score_gemma":0.001604756,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004230904,"about_ca_topic_score_gemma":0.002915086,"domain_scores_codex":[0.9993116,0.0002576261,0.00002376277,0.0001732676,0.0001400923,0.00009374035],"domain_scores_gemma":[0.9986211,0.0008906741,0.0001861266,0.00009282834,0.0001077193,0.0001015617],"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":[0.00007727039,0.0000213002,0.0001017417,0.00008995472,0.0000300667,0.00005160337,0.0000104051,0.9845828,0.0008956596,0.005662274,0.0008199962,0.007657016],"study_design_scores_gemma":[0.00001354868,0.00003369093,0.00008304348,0.000005571796,0.00000733057,0.00001616129,0.000005162878,0.9936579,0.000294447,0.005617106,0.0002602935,0.000005802118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04680216,0.000765631,0.9409124,0.0008163128,0.00009343131,0.00009869481,0.0005858222,0.0003963077,0.009529235],"genre_scores_gemma":[0.8837101,0.0004675541,0.1061056,0.0001666248,0.0001169956,0.0001419097,0.0004466963,0.0001754694,0.008668836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004382657,"threshold_uncertainty_score":0.01466149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03978123903138762,"score_gpt":0.2059229303042696,"score_spread":0.166141691272882,"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."}}