{"id":"W2999442988","doi":"10.1002/aic.16922","title":"A trust‐region framework for integration of design and control","year":2020,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Operability; Trust region; Piecewise; Key (lock); Metric (unit); Mathematical optimization; Process (computing); Computer science; Control (management); Series (stratigraphy); Scale (ratio); Mathematics; Engineering; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001600377,0.00006652453,0.0001590715,0.00002797318,0.00002935863,0.00001964448,0.000043923,0.00006637155,0.000002592304],"category_scores_gemma":[0.0002668615,0.00005901235,0.00003860997,0.00006023735,0.000009963715,0.0001480203,0.000002251543,0.0001438708,5.773079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001797328,"about_ca_system_score_gemma":0.000009693297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":2.551149e-7,"about_ca_topic_score_gemma":1.151147e-7,"domain_scores_codex":[0.9995225,0.00003958495,0.0002450612,0.0000538991,0.00005702024,0.00008194973],"domain_scores_gemma":[0.9995688,0.0001544714,0.00009437683,0.00004127266,0.0000748634,0.00006623747],"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":[0.0002898517,0.000009992231,0.0006257106,0.00007753356,0.0001566891,0.000003800287,0.00114014,0.9214244,0.02256086,0.002814201,0.001020444,0.04987637],"study_design_scores_gemma":[0.001176315,0.0001624286,0.0001825989,0.00005771078,0.00004022072,0.00002625852,0.00009444684,0.9923338,0.001519533,0.004005876,0.0003290201,0.00007184734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002064914,0.0006571222,0.9964517,0.0003743634,0.0001415834,0.0002505014,0.000001142438,0.00003666343,0.00002194707],"genre_scores_gemma":[0.8381792,0.00009896308,0.1613472,0.00009645475,0.0002500186,0.00000906975,4.619668e-7,0.00001523432,0.000003349249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8361143,"threshold_uncertainty_score":0.2406454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02223457132545964,"score_gpt":0.2359067387677168,"score_spread":0.2136721674422571,"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."}}