{"id":"W2327794776","doi":"10.1515/ijfe-2014-0039","title":"Finite Element Model to Predict the Bioconversion Rate of Glucose to Fructose using <i>Escherichia coli</i> K12 for Sugar Production from Date","year":2015,"lang":"en","type":"article","venue":"International Journal of Food Engineering","topic":"Microbial Inactivation Methods","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Bioconversion; Fructose; Fluent; Sugar; Volume (thermodynamics); Chemistry; Computational fluid dynamics; Escherichia coli; Eulerian path; Chromatography; Biochemistry; Thermodynamics; Mathematics; Physics; Fermentation; Applied mathematics","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":[0.0004881322,0.0000854032,0.0001018261,0.00008558352,0.00001478744,0.00001690069,0.0002439084,0.00003842652,0.000001883465],"category_scores_gemma":[0.0005178937,0.00007278511,0.00006059543,0.00006971609,0.00000726806,0.00001634778,0.00007552801,0.00006172561,4.031523e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005064482,"about_ca_system_score_gemma":0.00008006649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009850341,"about_ca_topic_score_gemma":0.000002344035,"domain_scores_codex":[0.9993373,0.00002766014,0.0002905379,0.0001127393,0.0001447113,0.00008712176],"domain_scores_gemma":[0.9990642,0.00002355862,0.000164346,0.0001112732,0.0005611896,0.00007542613],"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":[0.0001874466,0.00001322077,0.00001746522,0.000002984095,0.00007985147,1.876591e-7,0.00009217497,0.4255387,0.5735271,0.000008785737,0.000363573,0.0001685271],"study_design_scores_gemma":[0.0004212695,0.0002588956,0.00005847924,0.00004650891,0.00002041241,0.000003802598,0.00004543102,0.04442014,0.9489505,0.00003704515,0.005665934,0.00007159095],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5845191,0.00003838529,0.4144425,0.0002797539,0.0005562001,0.0001166348,0.00004290036,0.000001924696,0.000002632971],"genre_scores_gemma":[0.8895003,0.00001310856,0.1097458,0.0001892198,0.0004987623,0.000004836388,0.00001898941,0.0000144848,0.00001454325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3811186,"threshold_uncertainty_score":0.296809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03616056697671326,"score_gpt":0.292337299928305,"score_spread":0.2561767329515918,"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."}}