{"id":"W2768946186","doi":"10.1002/cjce.23066","title":"Model‐free control of a seeded batch crystallizer","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"PID controller; Control theory (sociology); Controller (irrigation); Nonlinear system; Process (computing); Adipic acid; Computer science; Seeding; Control (management); Model predictive control; Process control; Quality (philosophy); Control engineering; Product (mathematics); Mathematics; Engineering; Artificial intelligence; Temperature control; Materials science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001958114,0.0001257278,0.0002812723,0.00007889503,0.00006368702,0.00005755788,0.0006769989,0.00008069301,0.000008650839],"category_scores_gemma":[0.0004074168,0.0001041799,0.00009667764,0.0000412821,0.00005103004,0.0002003644,0.00001205323,0.000259049,7.179179e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655232,"about_ca_system_score_gemma":0.0001184716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002191561,"about_ca_topic_score_gemma":0.0001592806,"domain_scores_codex":[0.9991909,0.000004560884,0.0003574044,0.0000532368,0.0001494629,0.0002443922],"domain_scores_gemma":[0.9989915,0.00004967005,0.0001560051,0.0004144922,0.0001327892,0.0002555545],"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":[0.000005557454,9.209003e-7,0.00002506051,0.00002550104,0.0000565175,0.000006812513,0.00007860323,0.8612151,0.1380204,0.0003597488,0.00008889798,0.0001169004],"study_design_scores_gemma":[0.0008617678,0.000007935014,0.00003331292,0.00009715608,0.00003525995,0.00004150106,0.000003778616,0.9814867,0.01672847,0.0004130074,0.0001756859,0.0001153558],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2650852,0.001272774,0.7301172,0.0009177629,0.0007000059,0.0002768845,0.00004706652,0.00006252067,0.001520529],"genre_scores_gemma":[0.9977785,0.000002556654,0.001996838,0.00001423044,0.0001522707,0.000002970742,4.308627e-7,0.00003572469,0.00001646139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7326933,"threshold_uncertainty_score":0.4248335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007520084232423998,"score_gpt":0.1804431213881207,"score_spread":0.1729230371556967,"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."}}