{"id":"W2897357771","doi":"10.1016/j.jprocont.2018.09.007","title":"Optimized PID controller for an industrial biological fermentation process","year":2018,"lang":"en","type":"article","venue":"Journal of Process Control","topic":"Viral Infectious Diseases and Gene Expression in Insects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sanofi (Canada); University of Waterloo","funders":"National Research Council Canada","keywords":"Industrial fermentation; PID controller; Control theory (sociology); Controller (irrigation); Process (computing); Control engineering; Process control; Process engineering; Engineering; Computer science; Fermentation; Temperature control; Control (management); Chemistry; Biology; Biochemistry","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":[0.0003305434,0.000147418,0.0002808335,0.00005699966,0.0001447804,0.00005411023,0.0002065159,0.0001987455,0.00004396506],"category_scores_gemma":[0.00043475,0.0001040417,0.0001703904,0.00006293964,0.00009129514,0.00002398659,0.00001117445,0.0001005471,0.00000171327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001213489,"about_ca_system_score_gemma":0.0001840319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001259259,"about_ca_topic_score_gemma":0.000001006552,"domain_scores_codex":[0.9988996,0.00009160695,0.000434541,0.0002049562,0.0001590892,0.0002101465],"domain_scores_gemma":[0.9983137,0.00002183778,0.0004802638,0.00009633345,0.0009309768,0.0001568562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.03002519,0.0008444728,0.006425624,0.00004791319,0.0004626701,0.000003325928,0.0002573566,0.002339293,0.9401771,0.00004730768,0.009507265,0.009862459],"study_design_scores_gemma":[0.1352585,0.06301712,0.003073538,0.0002313842,0.0006780382,0.0002425602,0.001434283,0.009892406,0.7577664,0.007569223,0.01939666,0.001439859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647021,0.0002834327,0.03356544,0.000156942,0.0005548401,0.0005424616,0.00003464838,0.000009830846,0.0001503219],"genre_scores_gemma":[0.9956143,0.00002201964,0.0002607721,0.0006959485,0.003251524,0.00007111584,0.00001847451,0.00001585608,0.0000499272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1824107,"threshold_uncertainty_score":0.4242696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03972015496616682,"score_gpt":0.3509892169870041,"score_spread":0.3112690620208373,"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."}}