{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006921835,0.0001621165,0.0002784682,0.00007260156,0.0001477451,0.0001809471,0.0002338459,0.00009212391,0.00002232027],"category_scores_gemma":[0.0002482423,0.0001336265,0.0000601284,0.00006281496,0.00001369601,0.0005318898,0.000007476242,0.0003337837,0.000004178107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002860544,"about_ca_system_score_gemma":0.00004643673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001608842,"about_ca_topic_score_gemma":0.00002945245,"domain_scores_codex":[0.9989845,0.00003853079,0.0004090985,0.0001565308,0.0001415687,0.0002697828],"domain_scores_gemma":[0.9993015,0.0001377716,0.00008082425,0.0001962445,0.0001475109,0.0001361673],"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":[0.002638405,0.000319044,0.004252097,0.001223046,0.002319583,0.00008671069,0.005259694,0.662306,0.05764432,0.0003157591,0.002384415,0.261251],"study_design_scores_gemma":[0.003689093,0.00008204423,0.00002163461,0.0000692657,0.00007178998,0.00007365469,0.0005431681,0.9939946,0.0003240681,0.00009105398,0.0008782851,0.0001613459],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08184266,0.0005677678,0.9158852,0.0001042705,0.0005021451,0.0003912651,0.0000695154,0.000143342,0.0004938727],"genre_scores_gemma":[0.9954523,0.00001160039,0.003765603,0.0002077352,0.0004730659,0.00003542751,0.000006196741,0.00003639519,0.00001162266],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9136097,"threshold_uncertainty_score":0.5449131,"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."}}