{"id":"W1989490435","doi":"10.1007/s00449-007-0130-3","title":"Parametric analysis of metabolic fluxes of α-amylase and protease-producing Bacillus subtilis","year":2007,"lang":"en","type":"article","venue":"Bioprocess and Biosystems Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bacillus subtilis; Flux balance analysis; Metabolite; Biochemistry; Industrial and production engineering; Metabolic flux analysis; Amylase; Chemistry; Protease; Metabolism; Biology; Enzyme; Bacteria; Genetics","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":[0.0005511979,0.0001744717,0.0003974904,0.0004939705,0.00002517964,0.00001279717,0.00007657861,0.0001230283,0.000001658236],"category_scores_gemma":[0.0001551124,0.0001521418,0.00007948207,0.001003465,0.00004272624,0.000007555923,0.00004482262,0.00005490049,1.476774e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003409247,"about_ca_system_score_gemma":0.00001276253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001542862,"about_ca_topic_score_gemma":0.00001398045,"domain_scores_codex":[0.9989513,0.000009385856,0.0003801762,0.0003458814,0.0001137451,0.0001995572],"domain_scores_gemma":[0.9994295,0.000007851914,0.0001367956,0.0002273206,0.00011778,0.00008074896],"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":[0.00002510468,0.00002581027,0.005985522,0.0005678614,0.0003502353,6.734986e-7,0.000067286,0.0006797577,0.9896498,0.00006343746,0.000003223042,0.002581253],"study_design_scores_gemma":[0.0002087387,0.00008203292,0.03357475,0.00005661165,0.0003204913,0.00001870957,0.00007247934,0.001062905,0.962423,5.222503e-7,0.001980221,0.0001995258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9819697,0.01492829,0.002741492,0.000005935326,0.0001247251,0.0001666682,0.00003403526,0.00001634972,0.00001281753],"genre_scores_gemma":[0.9982696,0.0005215695,0.0009563933,0.000002577998,0.0001535252,0.000004562338,0.00002442415,0.00001460548,0.00005280726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02758923,"threshold_uncertainty_score":0.6204165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005535517261386861,"score_gpt":0.2075582034354043,"score_spread":0.2020226861740174,"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."}}