{"id":"W2987455406","doi":"10.1016/j.ymben.2019.11.005","title":"Heterologous production of 3-hydroxyvalerate in engineered Escherichia coli","year":2019,"lang":"en","type":"article","venue":"Metabolic Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":false,"ca_institutions":"Biotechnology Research Institute; McMaster University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Canada; Networks of Centres of Excellence of Canada; BioFuelNet Canada","keywords":"Escherichia coli; Biochemistry; Biosynthesis; Glycerol; Metabolic engineering; Citric acid cycle; Flux (metallurgy); Propionate; Metabolic flux analysis; Biology; Chemistry; Tricarboxylic acid; Metabolic pathway; Metabolism; Enzyme; Gene; Organic chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002591543,0.0004638353,0.0003670813,0.0002314188,0.0001440368,0.0006059579,0.0003597378,0.0003145228,0.0003748108],"category_scores_gemma":[0.0002364519,0.0001479647,0.0002958234,0.0003197994,0.0002398208,0.0002414965,0.0003217109,0.000541,0.000329456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000509025,"about_ca_system_score_gemma":0.0003630034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001637624,"about_ca_topic_score_gemma":0.001400991,"domain_scores_codex":[0.9997861,0.00004303603,0.00002597047,0.00003331236,0.00006444357,0.00004707334],"domain_scores_gemma":[0.9998447,0.0000323918,0.00003370784,0.00002690249,0.00003040131,0.00003193117],"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":[0.000120702,0.00004044998,0.0001980528,0.00002872048,0.000006929058,0.00005959148,0.00001969293,0.0003823841,0.9978079,0.0002064304,0.00001467299,0.00111442],"study_design_scores_gemma":[0.000004911843,0.00004883363,0.0003013278,0.000001772692,0.00000484382,0.00003763163,0.00001325186,0.0005099734,0.9985881,0.00001846071,0.0004682431,0.000002522038],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873238,0.0003537283,0.01028347,0.0001108554,0.00004120643,0.0000311006,0.0004656904,0.0001443401,0.001245879],"genre_scores_gemma":[0.9901286,0.0003085225,0.006172739,0.00002962099,0.000005717559,0.00001188881,0.0006867441,0.00004618007,0.002610048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001637624,"threshold_uncertainty_score":0.003693223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003829441469517755,"score_gpt":0.1871778243425341,"score_spread":0.1833483828730164,"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."}}