{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000310689,0.0004914681,0.0004231014,0.0002410643,0.0003287497,0.0007538738,0.0007538229,0.0003912658,0.0008589301],"category_scores_gemma":[0.0003517382,0.0001979987,0.0003271358,0.0002073452,0.0004356733,0.0002945078,0.0004453407,0.0004824693,0.0001565465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005804606,"about_ca_system_score_gemma":0.0005495195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004040978,"about_ca_topic_score_gemma":0.002892964,"domain_scores_codex":[0.9997842,0.00002807684,0.000009217985,0.00005973285,0.00009732434,0.00002143436],"domain_scores_gemma":[0.9998347,0.00004257997,0.00004218758,0.00001697272,0.00005256922,0.0000109727],"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":[0.0005414927,0.0001797512,0.001166792,0.0003065359,0.00007276722,0.000310354,0.0001344167,0.7383467,0.1824068,0.009095695,0.001337979,0.06610069],"study_design_scores_gemma":[0.00001356119,0.0001257151,0.0002498008,0.000003192154,0.000009566835,0.00001917271,0.000004883219,0.9835683,0.01516912,0.0001993269,0.0006307588,0.000006535192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1404522,0.0004455763,0.8472326,0.0001772856,0.0001445816,0.00009332018,0.00006882482,0.0008677141,0.010518],"genre_scores_gemma":[0.982955,0.00008106938,0.01497898,0.0000174853,0.000009622633,0.00003215333,0.000023562,0.000008349739,0.00189372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004040978,"threshold_uncertainty_score":0.008034945,"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."}}