{"id":"W2298004029","doi":"10.1021/acssynbio.5b00289","title":"Engineering of a Nepetalactol-Producing Platform Strain of <i>Saccharomyces cerevisiae</i> for the Production of Plant Seco-Iridoids","year":2016,"lang":"en","type":"article","venue":"ACS Synthetic Biology","topic":"Phytochemistry and Biological Activities","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Government of Ontario; Canada Foundation for Innovation; Génome Québec; Genome Canada","keywords":"Saccharomyces cerevisiae; Catharanthus roseus; Iridoid; Synthetic biology; Geraniol; Metabolic engineering; Yeast; Biochemistry; Biology; Speciality chemicals; Monoterpene; Chemistry; Computational biology; Botany; Glycoside; 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":[0.0003468981,0.0001167497,0.000285106,0.000008188966,0.00004318724,0.000002551322,0.0002424035,0.0001129104,0.00007062962],"category_scores_gemma":[0.0004799005,0.00003063606,0.0001044203,0.00009206534,0.000241704,0.00004937878,0.00005280464,0.00005202495,5.351334e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000070825,"about_ca_system_score_gemma":0.000007409202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002593942,"about_ca_topic_score_gemma":0.00001076441,"domain_scores_codex":[0.9991972,0.00002434215,0.0002996446,0.0002327184,0.00005749583,0.0001885418],"domain_scores_gemma":[0.998342,0.001249044,0.0002328862,0.00009471584,0.00005946285,0.00002185616],"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":[0.000068414,0.00004458395,0.0005731009,0.00005551783,0.00003067908,5.537114e-8,0.00003155228,0.000002150131,0.9418043,0.0004977842,0.00002292734,0.0568689],"study_design_scores_gemma":[0.0000710183,0.0003539604,0.004115867,0.0001162539,0.00001985233,0.00001031469,0.0001342706,0.000008200573,0.9921359,0.001002135,0.001942775,0.00008949121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976181,0.0002311574,0.00003955183,0.001125478,0.0001322007,0.0002397878,0.0005501812,0.00001510476,0.0000484847],"genre_scores_gemma":[0.9995329,0.0001260906,0.00008519905,0.00001020335,0.0001565258,0.00002801926,0.00001848039,8.366162e-7,0.00004168429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05677941,"threshold_uncertainty_score":0.1249302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02413548270582032,"score_gpt":0.2121628155194529,"score_spread":0.1880273328136326,"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."}}