{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001091367,0.0004152046,0.0001942376,0.0001830113,0.00012854,0.0003270597,0.0003011301,0.0001596551,0.0006049749],"category_scores_gemma":[0.0001274115,0.0001333913,0.0002713439,0.000254242,0.0001185762,0.0001400014,0.0003210026,0.0004842371,0.0004012021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948895,"about_ca_system_score_gemma":0.000257678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393772,"about_ca_topic_score_gemma":0.001428927,"domain_scores_codex":[0.9999088,0.0000116672,0.00001727934,0.0000204881,0.00002749736,0.00001426896],"domain_scores_gemma":[0.9999223,0.00001207222,0.00002111137,0.00001623878,0.000009773213,0.00001856916],"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":[0.00003810712,0.0000370935,0.0002812571,0.00002703406,0.000004907208,0.00009101511,0.00002228716,0.0002438978,0.9974698,0.0001988744,0.00002802697,0.001557826],"study_design_scores_gemma":[0.00001087509,0.0001951777,0.00202916,0.000007394187,0.00001753421,0.0002066292,0.0000477957,0.002203922,0.9911712,0.00007746215,0.004024978,0.000007928599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806758,0.0002746153,0.01416976,0.0001065551,0.00004939157,0.0001203742,0.001106426,0.0002391321,0.003257894],"genre_scores_gemma":[0.9661174,0.0006036902,0.02552299,0.00003950112,0.00000694457,0.00007513645,0.00284308,0.0001284752,0.004662738],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001393772,"threshold_uncertainty_score":0.002771378,"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."}}