{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000271382,0.0001895485,0.0002882901,0.0001602438,0.000009619456,0.000007428331,0.00012752,0.0001258708,0.00001231942],"category_scores_gemma":[0.0001067077,0.0001953865,0.00007525952,0.0003145391,0.00001405454,0.000008761072,0.0000420563,0.0001379131,0.00001185125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009134653,"about_ca_system_score_gemma":0.00001878482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002114816,"about_ca_topic_score_gemma":0.00000361531,"domain_scores_codex":[0.9989805,0.00002255796,0.0002922434,0.0003432411,0.0000981158,0.0002633233],"domain_scores_gemma":[0.9994831,0.000002392668,0.00005939851,0.0003655639,0.00004687615,0.00004263724],"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":[0.00002081766,0.00003101518,0.0008724566,0.00006289298,0.00002990875,3.864673e-7,0.00003564891,0.1289631,0.8695106,0.00007855035,0.00003020785,0.0003645037],"study_design_scores_gemma":[0.0003974526,0.00006758884,0.01721018,0.00002739009,0.00001367267,0.000009995573,0.000008452869,0.002245945,0.958966,0.000002099225,0.02083001,0.0002212018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995278,0.001965275,0.0009412277,0.00003129613,0.001415317,0.0002588456,0.00000376441,0.00003898059,0.00006729796],"genre_scores_gemma":[0.9967766,0.0002616832,0.00202411,0.00001578647,0.0003457295,0.00002023896,0.0000280931,0.0000367586,0.0004909953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1267171,"threshold_uncertainty_score":0.7967629,"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."}}