{"id":"W2909763373","doi":"10.1104/pp.18.01291","title":"Engineering Plant Secondary Metabolism in Microbial Systems","year":2019,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Plant metabolism; Secondary metabolism; Metabolism; Microbial metabolism; Biology; Biochemical engineering; Chemistry; Biochemistry; Bacteria; Engineering; Genetics; Biosynthesis; Gene","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":[0.0003404142,0.0006399713,0.0005807473,0.0006432395,0.0002940116,0.001168594,0.0003450104,0.000552782,0.001680775],"category_scores_gemma":[0.0003400187,0.0002939233,0.0005917526,0.0005167717,0.0002055328,0.0009574728,0.0007779804,0.001370936,0.001386298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006931178,"about_ca_system_score_gemma":0.0004438313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005509928,"about_ca_topic_score_gemma":0.00110023,"domain_scores_codex":[0.9997454,0.00003903732,0.00002572931,0.00004555976,0.00009845291,0.00004574942],"domain_scores_gemma":[0.9999107,0.00002302713,0.00001868621,0.000008588483,0.00002216534,0.0000168163],"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":[0.0001031484,0.0001241557,0.0004570166,0.002285214,0.00004762703,0.000561177,0.0002219257,0.002071253,0.9136717,0.01231525,0.001954103,0.06618741],"study_design_scores_gemma":[0.00004017045,0.0009507882,0.001730759,0.0005232196,0.0001539121,0.001145722,0.0001824892,0.005185836,0.5634565,0.006163976,0.420398,0.00006861708],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3351172,0.266095,0.2822461,0.003056104,0.002738448,0.001189301,0.004609713,0.003586028,0.1013622],"genre_scores_gemma":[0.615602,0.2014134,0.1567621,0.001095287,0.0003721337,0.0007059919,0.005458022,0.0005079025,0.01808311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001680775,"threshold_uncertainty_score":0.005622685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003970735047403801,"score_gpt":0.1667686279289553,"score_spread":0.1627978928815515,"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."}}