{"id":"W4246035151","doi":"10.1002/ange.201510650","title":"Expanding the Landscape of Diterpene Structural Diversity through Stereochemically Controlled Combinatorial Biosynthesis","year":2016,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of California, Davis; Danmarks Tekniske Universitet; Novo Nordisk; Directorate for Biological Sciences; Novo Nordisk Fonden; European Research Council; Iowa State University","keywords":"Diterpene; Biosynthesis; Enantiomer; Chemistry; Stereochemistry; Diastereomer; Stereoselectivity; Modularity (biology); Computational biology; Enzyme; Biology; Biochemistry; Evolutionary biology; Catalysis","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":[0.0001993215,0.0002257736,0.0003299146,0.00001595854,0.0001869787,0.00001771708,0.0004778732,0.0002134214,0.0001178659],"category_scores_gemma":[0.0002985834,0.0001193834,0.0002343733,0.00007510882,0.0002106521,0.00001139591,0.0004271178,0.00006338899,0.00000395794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001501924,"about_ca_system_score_gemma":0.00003403609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001273298,"about_ca_topic_score_gemma":0.000003669342,"domain_scores_codex":[0.9988444,0.00004660734,0.0002634271,0.000346867,0.000216162,0.0002824855],"domain_scores_gemma":[0.9990521,0.0001795957,0.0001953412,0.000419806,0.00008811493,0.00006506166],"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":[0.001048031,0.00003243044,0.004560089,0.00002008305,0.0001803495,0.000002737221,0.00005163591,9.303709e-8,0.9919214,0.00003142827,0.001880492,0.0002712515],"study_design_scores_gemma":[0.00269308,0.00008248667,0.0003701238,0.00004338961,0.00008533218,0.0000140932,0.00006453047,4.342781e-7,0.9949353,0.0002929698,0.001209588,0.0002086273],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963616,0.0003284677,0.00004740441,0.0004693157,0.0002003628,0.0001656041,0.0001810534,0.00001679805,0.002229363],"genre_scores_gemma":[0.9988321,0.0001850552,0.00006437447,0.000109822,0.0004114131,0.00001113475,0.00005573792,0.00001295559,0.0003174185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004189965,"threshold_uncertainty_score":0.4868313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211087846611126,"score_gpt":0.2274646659007058,"score_spread":0.2153537874345945,"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."}}