{"id":"W2030385957","doi":"10.1128/aem.02667-08","title":"Metabolic Engineering of <i>Escherichia coli</i> for Enhanced Production of ( <i>R</i> )- and ( <i>S</i> )-3-Hydroxybutyrate","year":2009,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Escherichia coli; Thiolase; Metabolic engineering; Biology; Recombinant DNA; NAD+ kinase; Biochemistry; Enzyme; Cofactor; Enantiopure drug; Alcohol dehydrogenase; Dehydrogenase; Enantioselective synthesis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008527156,0.0001284102,0.0002092376,0.00002703353,0.0000233085,0.000001990086,0.00004288244,0.0001005811,8.749073e-7],"category_scores_gemma":[0.000007441506,0.0001238081,0.00003277157,0.00003267448,0.00009068622,0.000002841633,0.0000263398,0.00003964968,2.011627e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002550912,"about_ca_system_score_gemma":0.000004295207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001640123,"about_ca_topic_score_gemma":3.172225e-7,"domain_scores_codex":[0.9993954,0.00000703561,0.0001836355,0.000267886,0.00001608476,0.0001299975],"domain_scores_gemma":[0.9997645,0.0000026257,0.00007862179,0.0001211081,0.000005493884,0.00002763471],"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":[0.00006365817,0.00004499519,0.00002097453,0.00003197194,0.0000286714,1.923043e-8,0.0000300263,0.0001728763,0.9975669,0.0001745944,0.00003541389,0.00182991],"study_design_scores_gemma":[0.0003852105,0.0001796365,0.0006770215,0.000005381367,0.00003056475,0.00001050221,0.00002210292,0.000006639914,0.9906332,0.00002358042,0.007907426,0.0001187044],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969429,0.001771127,0.0008511365,0.00003155016,0.00009572198,0.0002378724,0.00004111663,0.000006316405,0.00002222214],"genre_scores_gemma":[0.9967539,0.001069602,0.00180269,0.00007645358,0.0001019055,0.00001235657,0.00012349,0.00001046235,0.00004910112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007872012,"threshold_uncertainty_score":0.5048748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002578193898417755,"score_gpt":0.1684082682273244,"score_spread":0.1658300743289066,"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."}}