{"id":"W2793593537","doi":"10.1039/c8me00013a","title":"A molecular switch that enhances productivity of bioprocesses for heterologous metabolite production","year":2018,"lang":"en","type":"article","venue":"Molecular Systems Design & Engineering","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Productivity; Metabolite; Heterologous; Secondary metabolite; Production (economics); Biomass (ecology); Biochemical engineering; Biotechnology; Chemistry; Computational biology; Biology; Biochemistry; Gene; Engineering; Ecology; Economics; Microeconomics","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":[0.0002470241,0.0006222169,0.0003483282,0.0002100376,0.0001211898,0.0005222851,0.0003318432,0.0003636891,0.001684165],"category_scores_gemma":[0.0002798658,0.0002167072,0.0003981045,0.0002208804,0.0003475565,0.0003249714,0.000344834,0.0008289531,0.0007037735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432966,"about_ca_system_score_gemma":0.0003019918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000373773,"about_ca_topic_score_gemma":0.0005432842,"domain_scores_codex":[0.9997628,0.00003081511,0.0000280178,0.00006404769,0.00006003907,0.00005422625],"domain_scores_gemma":[0.9998702,0.00002599114,0.00003492578,0.00002922508,0.00001267026,0.00002708286],"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":[0.00002411741,0.00002797319,0.00004031076,0.00001926231,0.000002374739,0.0000275152,0.000004972866,0.0001235501,0.9979284,0.0003331399,0.00004130926,0.001427072],"study_design_scores_gemma":[0.000007633081,0.00006002744,0.0001407469,0.000001539884,0.000005520352,0.00004599563,0.000002676983,0.0004504618,0.9976645,0.00004472865,0.001572964,0.000003346966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9198954,0.0008034185,0.06852216,0.000768988,0.0003321515,0.0001562163,0.00100165,0.001565395,0.006954632],"genre_scores_gemma":[0.9434245,0.0008154479,0.04882934,0.000254439,0.00004728673,0.00009558022,0.0008247804,0.0003292264,0.005379557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001684165,"threshold_uncertainty_score":0.005634069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01342655929221682,"score_gpt":0.2267964083797739,"score_spread":0.213369849087557,"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."}}