{"id":"W4213173609","doi":"10.1016/j.compchemeng.2022.107713","title":"Design and application of data driven economic model predictive control for a rotational molding process","year":2022,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Process (computing); Quality (philosophy); Trajectory; Process state; Product (mathematics); State-space representation; Model predictive control; Computer science; State space; Engineering; Mathematical optimization; Control theory (sociology); Control (management); Algorithm; Mathematics; Artificial intelligence","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":[0.0005142025,0.0004640042,0.0006444409,0.0003087814,0.00058639,0.0009991993,0.0008505349,0.0008471208,0.001585876],"category_scores_gemma":[0.0008365438,0.0004278883,0.0004237797,0.0002457809,0.0005121163,0.0003444238,0.0006202118,0.0006380265,0.0001932487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005871069,"about_ca_system_score_gemma":0.00128955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00487997,"about_ca_topic_score_gemma":0.004047983,"domain_scores_codex":[0.9997968,0.00003945957,0.00000870268,0.00003946637,0.00008929784,0.00002636427],"domain_scores_gemma":[0.9997653,0.00009546342,0.00003562207,0.00002011914,0.00006858094,0.0000149299],"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":[0.00009906512,0.00008350445,0.0002804473,0.00008188347,0.00002200346,0.0000767775,0.00003352287,0.9619961,0.01046846,0.004818669,0.0002809556,0.02175866],"study_design_scores_gemma":[0.0000085801,0.00004116705,0.00005482225,0.000001381869,0.000004018204,0.000003533326,0.000001977153,0.9980996,0.001315221,0.0002732205,0.0001940191,0.000002466638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1449386,0.0005143572,0.8343291,0.000638483,0.0001796173,0.0002554873,0.000090497,0.0006289601,0.01842473],"genre_scores_gemma":[0.9763015,0.00008338445,0.02191105,0.0000320674,0.000009072732,0.0001027349,0.00002071312,0.00001460726,0.00152484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00487997,"threshold_uncertainty_score":0.009703159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009761179964307436,"score_gpt":0.2155840024334767,"score_spread":0.2058228224691693,"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."}}