{"id":"W2897908033","doi":"10.1021/acs.iecr.8b02738","title":"Adaptive Model Predictive Batch Process Monitoring and Control","year":2018,"lang":"en","type":"article","venue":"Industrial & Engineering Chemistry Research","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Computer science; Process (computing); Controller (irrigation); Subspace topology; Identification (biology); Batch processing; Process control; Adaptive control; Control theory (sociology); Control engineering; Control (management); Artificial intelligence; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004639973,0.0002396081,0.0002685603,0.00009641101,0.0001258012,0.00007751623,0.0002341622,0.0003360312,0.00001030485],"category_scores_gemma":[0.0004117167,0.0002684274,0.00003040607,0.0004153394,0.000110497,0.0002681004,0.00004875579,0.0008968766,0.00000671391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002828184,"about_ca_system_score_gemma":0.00008138743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006634029,"about_ca_topic_score_gemma":1.822262e-7,"domain_scores_codex":[0.9982295,0.00002216352,0.0002820978,0.0003445562,0.0004928398,0.0006288683],"domain_scores_gemma":[0.9989153,0.0001807893,0.00002852218,0.0002579313,0.0003926198,0.0002248676],"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":[0.00007053099,0.000006942626,0.0001485048,0.00005608062,0.00005978228,0.000003635319,0.0001606795,0.7348897,0.2640046,0.00000736608,0.00005410461,0.0005380696],"study_design_scores_gemma":[0.001061478,0.00004642946,0.00001748071,0.0001378227,0.00000999975,0.000006124256,0.0001206312,0.7733063,0.2250119,0.00004237301,0.00005521356,0.0001842339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8047037,0.0009109869,0.1831913,0.00009848303,0.0009697864,0.001822039,0.0001266966,0.001894179,0.006282801],"genre_scores_gemma":[0.9971426,0.00001696237,0.0002194463,7.347301e-7,0.002201782,0.0002002717,0.000003921653,0.00007915861,0.0001351817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1924388,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05355759598640571,"score_gpt":0.3107978294538275,"score_spread":0.2572402334674218,"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."}}