{"id":"W3165596616","doi":"10.1002/aic.17333","title":"Multistage adaptive stochastic mixed integer optimization under endogenous and exogenous uncertainty","year":2021,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Process Optimization and Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematical optimization; Robust optimization; Affine transformation; Stochastic optimization; Stochastic programming; Optimization problem; Set (abstract data type); Mathematics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001635906,0.0009555648,0.001201511,0.0004685002,0.00044021,0.001059113,0.0009787597,0.001083913,0.00134044],"category_scores_gemma":[0.001904263,0.0006524629,0.001101868,0.0006319517,0.0008594651,0.0007624406,0.001212495,0.001186623,0.000126883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007931462,"about_ca_system_score_gemma":0.001082881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006591645,"about_ca_topic_score_gemma":0.003827462,"domain_scores_codex":[0.9992975,0.0002991476,0.00003127006,0.0001228226,0.0001493223,0.0001000369],"domain_scores_gemma":[0.9990849,0.0005959402,0.0001305208,0.00004025852,0.0001109876,0.00003731022],"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":[0.00001112858,0.000006975634,0.00008980314,0.00001466147,0.000009715095,0.00002227148,0.000006513015,0.994975,0.0003143811,0.002809192,0.0000435141,0.001696846],"study_design_scores_gemma":[0.00000150891,0.000005042135,0.00001675977,9.002317e-7,0.000001345061,0.000001235116,0.000001246188,0.9994038,0.00006077677,0.0004796467,0.00002660111,9.696561e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02762609,0.0001623757,0.969701,0.0001356815,0.00001831472,0.00003903627,0.00003352289,0.0000710956,0.002212947],"genre_scores_gemma":[0.9293813,0.0001570307,0.0684211,0.00004929442,0.00002633191,0.0001552476,0.0000596375,0.0000250256,0.00172504],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006591645,"threshold_uncertainty_score":0.01310658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02363440398510633,"score_gpt":0.2117548396958996,"score_spread":0.1881204357107933,"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."}}