{"id":"W4385406708","doi":"10.1039/d3np00005b","title":"Engineering yeast for the production of plant terpenoids using synthetic biology approaches","year":2023,"lang":"en","type":"review","venue":"Natural Product Reports","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Consejo Nacional de Ciencia y Tecnología; Faculty of Engineering, McGill University","keywords":"Synthetic biology; Terpenoid; Yeast; Metabolic engineering; Production (economics); Biochemical engineering; Biology; Biotechnology; Computational biology; Botany; Engineering; Biochemistry","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":[0.0005914127,0.001086224,0.0008709785,0.002161353,0.0002034159,0.0009299173,0.0009284326,0.0007303844,0.002740935],"category_scores_gemma":[0.0004388278,0.0003103151,0.0004838249,0.002500684,0.0003736157,0.001057868,0.0007315072,0.001628458,0.003510032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006785858,"about_ca_system_score_gemma":0.0007588063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001306932,"about_ca_topic_score_gemma":0.001787565,"domain_scores_codex":[0.9998542,0.00001452965,0.00001572899,0.00002451493,0.00007268856,0.00001825191],"domain_scores_gemma":[0.9998042,0.00007262686,0.00003413552,0.000008938775,0.00005594183,0.00002426384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006268943,0.00006367968,0.00007186747,0.01353657,0.00007260701,0.0001568967,0.00002781269,0.0004027275,0.009662073,0.00600173,0.01699604,0.9529453],"study_design_scores_gemma":[0.00001413732,0.00005769861,0.0002668774,0.001251039,0.00006056476,0.0004083119,0.00001959812,0.00005916076,0.002924742,0.00112848,0.9937952,0.00001426257],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001975934,0.9972693,0.0004544661,0.0001491866,0.000178783,0.000007797014,0.00003902004,0.00001818349,0.001685569],"genre_scores_gemma":[0.0006110459,0.9978434,0.0004162433,0.00008099204,0.00003952736,0.000006529288,0.00006683574,0.000002728156,0.0009327133],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002740935,"threshold_uncertainty_score":0.0091694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07325245431860031,"score_gpt":0.2926691877329942,"score_spread":0.2194167334143939,"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."}}