{"id":"W2113615858","doi":"10.1002/aic.12720","title":"Integrating data‐based modeling and nonlinear control tools for batch process control","year":2011,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Model predictive control; Control theory (sociology); Weighting; Computer science; Controller (irrigation); Control engineering; Process (computing); Cluster analysis; Engineering; Control (management); 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":[0.001526309,0.0009261849,0.0008416124,0.0006576734,0.0003108178,0.001159806,0.001167961,0.0007526535,0.001648014],"category_scores_gemma":[0.003042437,0.0005455852,0.0007822377,0.0004887506,0.0006622286,0.001272997,0.0009673891,0.001479516,0.0003850796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009346464,"about_ca_system_score_gemma":0.001016881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005501431,"about_ca_topic_score_gemma":0.003818608,"domain_scores_codex":[0.9994461,0.0001555071,0.00005305385,0.00009084658,0.0002276111,0.00002692518],"domain_scores_gemma":[0.9988384,0.0006184775,0.0001414964,0.0001490013,0.0002314025,0.0000214131],"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":[0.00002425089,0.00002272542,0.0002666684,0.00006896599,0.00002236783,0.00002731064,0.00002617125,0.9679945,0.001650034,0.01028349,0.0001532114,0.01946034],"study_design_scores_gemma":[0.000002190543,0.000008507234,0.00002853914,0.000003769713,0.00000221722,0.000002530829,0.000001547788,0.9967907,0.0005975176,0.002321683,0.0002380364,0.000002743806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002539077,0.00009474134,0.9963943,0.00006485973,0.0000162263,0.00001798433,0.00003524587,0.0002500471,0.0005874321],"genre_scores_gemma":[0.7145968,0.0004840571,0.2817804,0.00009127062,0.00005109774,0.0004166503,0.0002294265,0.0001025193,0.002247829],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005501431,"threshold_uncertainty_score":0.01093882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04985875372071551,"score_gpt":0.2678653723874885,"score_spread":0.218006618666773,"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."}}