{"id":"W2120504822","doi":"10.1002/aic.14473","title":"Design under uncertainty using parallel multiperiod dynamic optimization","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Discretization; Interval (graph theory); Mathematical optimization; Realization (probability); Solver; Computer science; Process (computing); Dynamic programming; Optimal control; Shooting method; Control theory (sociology); Control (management); Mathematics; Boundary value problem","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":[0.0007896289,0.0007439056,0.0009175347,0.0003685939,0.0003705985,0.0007332598,0.0005763057,0.0006143095,0.001680965],"category_scores_gemma":[0.001217082,0.0005698383,0.0006610047,0.000445862,0.0004992468,0.0006661047,0.0008984186,0.0007442718,0.0001947639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006807985,"about_ca_system_score_gemma":0.001130345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322913,"about_ca_topic_score_gemma":0.002165048,"domain_scores_codex":[0.999648,0.000114795,0.00001387748,0.00006996446,0.000120267,0.00003315627],"domain_scores_gemma":[0.999552,0.0002346069,0.00008551609,0.00005209567,0.00005797841,0.00001778623],"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":[0.00001464877,0.00001061294,0.00008132561,0.00001792159,0.00001218121,0.00001736184,0.000009847202,0.9871185,0.00124304,0.002886508,0.00007968475,0.008508429],"study_design_scores_gemma":[0.000004714916,0.00001536654,0.00002519342,0.00000139675,0.000002117952,0.000004842634,0.000002023484,0.9978306,0.000345114,0.001562443,0.0002043114,0.000001886987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01044502,0.0000841803,0.986834,0.00006181481,0.00001180076,0.00003352675,0.00001755205,0.000127842,0.002384211],"genre_scores_gemma":[0.6418818,0.0002100226,0.3548395,0.0000701481,0.00002614146,0.0002745142,0.0000658569,0.00009172635,0.002540245],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002322913,"threshold_uncertainty_score":0.0056234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345752306823515,"score_gpt":0.2325897435764488,"score_spread":0.2191322205082137,"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."}}