{"id":"W2155787535","doi":"10.1002/jctb.4740","title":"Parametric sensitivity of <scp>pH</scp> and steady state multiplicity in a continuous stirred tank bioreactor (<scp>CSTBR</scp>) using a lactic acid bacterium (<scp>LAB</scp>), <i>Pediococcus acidilactici</i>","year":2015,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Heritage College","funders":"","keywords":"Bioreactor; Parametric statistics; Pediococcus acidilactici; Sensitivity (control systems); Continuous stirred-tank reactor; Steady state (chemistry); Dilution; Nonlinear system; Lactic acid; Control theory (sociology); Chemistry; Biological system; Mathematics; Computer science; Physics; Thermodynamics; Engineering; Chemical engineering; Bacteria; Control (management); Biology; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004863956,0.0002131424,0.0002532894,0.0001803751,0.0001560414,0.0004420373,0.0002555499,0.0003053871,0.0004888629],"category_scores_gemma":[0.001546043,0.0001509576,0.0002386074,0.00017645,0.0004089832,0.0002493583,0.0004298265,0.0003761279,0.00006184114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004045634,"about_ca_system_score_gemma":0.0001846567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009786829,"about_ca_topic_score_gemma":0.0003908389,"domain_scores_codex":[0.9996476,0.00007438759,0.00002541955,0.00006859085,0.0001382023,0.00004572401],"domain_scores_gemma":[0.9988992,0.0006957387,0.0001871409,0.00007404627,0.0001034433,0.00004030667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004907561,0.00008035414,0.006715153,0.0001007455,0.00003441829,0.000190475,0.0001356476,0.03868027,0.9466969,0.0002656001,0.00007727155,0.006532366],"study_design_scores_gemma":[0.00001371765,0.0009031914,0.01960038,0.00000859274,0.00002893845,0.0001414146,0.0001200483,0.1307557,0.8478751,0.0003119279,0.000206466,0.00003462871],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957271,0.00006285388,0.003793416,0.00003520447,0.000003816388,0.000005837568,0.00003487332,0.00002981494,0.0003072527],"genre_scores_gemma":[0.9997144,0.00001649411,0.0002103764,0.000002685171,5.557347e-7,0.000002306244,0.000009887435,9.238838e-7,0.00004234227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009786829,"threshold_uncertainty_score":0.00293535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01169442058914701,"score_gpt":0.2338927952655722,"score_spread":0.2221983746764252,"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."}}