{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006023744,0.002007732,0.001765356,0.0009675334,0.0005061945,0.002278357,0.002074975,0.001658371,0.00372004],"category_scores_gemma":[0.00886788,0.0009938887,0.001516935,0.0009663035,0.002190937,0.001729395,0.002073221,0.002350089,0.0007008082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001997602,"about_ca_system_score_gemma":0.001781539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005823675,"about_ca_topic_score_gemma":0.002154489,"domain_scores_codex":[0.9971328,0.001585553,0.0001086089,0.0003134101,0.0006720092,0.0001875935],"domain_scores_gemma":[0.9961931,0.00251214,0.0003049062,0.0002474269,0.0006401793,0.0001021938],"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":[0.00003620121,0.00001872921,0.0001077941,0.00008823853,0.00005565108,0.00008082811,0.00006601976,0.8710248,0.000637655,0.1153898,0.0004030423,0.01209119],"study_design_scores_gemma":[0.00000700864,0.00002803924,0.000017298,0.0000115196,0.000008075008,0.000009589217,0.000006088318,0.9759908,0.0001901825,0.02289209,0.0008336193,0.000005707137],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006628464,0.0001620259,0.997929,0.00005155193,0.00001171056,0.0000133614,0.000008650907,0.00004334579,0.001117532],"genre_scores_gemma":[0.5974139,0.001348529,0.3945117,0.0001101614,0.0001557736,0.0006166318,0.0001240578,0.0001509714,0.005568307],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006023744,"threshold_uncertainty_score":0.03185701,"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."}}