{"id":"W2123375513","doi":"10.1002/aic.14063","title":"Data‐driven model predictive quality control of batch processes","year":2013,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":56,"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; Unavailability; Weighting; Computer science; Quality (philosophy); Process (computing); Batch processing; Nonlinear system; Trajectory; Process control; Control theory (sociology); Data mining; Control (management); Engineering; Reliability 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003608481,0.0001123483,0.0002737692,0.00004820372,0.00004257165,0.00003393559,0.0003229489,0.00007026433,0.00002805473],"category_scores_gemma":[0.0003237196,0.00009782402,0.00003349284,0.0001075917,0.00002768798,0.001020912,0.00002787625,0.0002301637,0.00001247725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004706352,"about_ca_system_score_gemma":0.00007691022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001092186,"about_ca_topic_score_gemma":0.000009619575,"domain_scores_codex":[0.9988855,0.00006515122,0.0005445144,0.0001160041,0.0002123204,0.0001765289],"domain_scores_gemma":[0.9988419,0.0001222711,0.0002099194,0.0003031669,0.0004292521,0.00009348491],"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":[0.00001253726,0.00001715473,0.001981783,0.00007068006,0.0001267213,5.224798e-7,0.0001362667,0.9928769,0.002112545,0.00002540699,0.001461384,0.001178078],"study_design_scores_gemma":[0.000875638,0.00002716485,0.001484806,0.0000481451,0.0000349994,0.00001248191,0.0001075375,0.996428,0.0001294027,0.0006591872,0.00009383701,0.00009887576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01557983,0.0006700517,0.9821332,0.00007647094,0.0001875642,0.0002538137,0.00008348168,0.00007950959,0.0009361573],"genre_scores_gemma":[0.9895709,0.000173749,0.009925046,0.00002771207,0.0001989618,0.00001570269,0.00001082793,0.00002494059,0.00005218921],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.973991,"threshold_uncertainty_score":0.3989148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0233824593634312,"score_gpt":0.2671973362323493,"score_spread":0.2438148768689181,"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."}}