{"id":"W2134159896","doi":"10.1109/acc.2011.5990931","title":"Data-based modeling and control of nylon-6,6 batch polymerization","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Model predictive control; Control theory (sociology); Trajectory; Weighting; Computer science; Controller (irrigation); Nonlinear system; Cluster analysis; Tracking (education); Process (computing); Artificial intelligence; Control (management)","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":[],"consensus_categories":[],"category_scores_codex":[0.00006453802,0.00007294743,0.0001270709,0.00004630776,0.0000138797,0.000004958642,0.00008691798,0.00003758993,0.00002457982],"category_scores_gemma":[0.00001676556,0.00007104989,0.000008837752,0.0000643752,0.000009721953,0.0002213376,0.00001058755,0.00002769141,0.000001479977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007263909,"about_ca_system_score_gemma":0.000006627783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000496306,"about_ca_topic_score_gemma":0.00001100303,"domain_scores_codex":[0.9995387,0.00001076938,0.0001923072,0.0001081294,0.00006214021,0.00008801663],"domain_scores_gemma":[0.9996374,0.00001783599,0.0000274558,0.0002557367,0.00003207866,0.00002950667],"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":[0.00001446914,0.000006585749,0.0004345696,0.00003559561,0.00001964098,2.622384e-7,0.00005140839,0.9848531,0.01225014,0.000432276,0.000003980315,0.001897984],"study_design_scores_gemma":[0.0005977432,0.00001056349,0.00003893792,0.00001095698,0.00001537809,4.925589e-7,0.00002082829,0.9961538,0.003016717,0.00005054142,0.00001109368,0.00007300302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004244074,0.0002742874,0.9933122,0.000007439238,0.00006156295,0.0001388693,0.00002842513,0.0001502798,0.001782837],"genre_scores_gemma":[0.9812412,0.000009485748,0.01864534,0.00001770669,0.00001687468,0.000006404426,0.00003401353,0.00001932494,0.000009613884],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9769971,"threshold_uncertainty_score":0.2897331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808905997760053,"score_gpt":0.2065204639233031,"score_spread":0.1784314039457026,"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."}}