{"id":"W2111607906","doi":"10.1104/pp.111.185843","title":"Evolution of Diterpene Metabolism: Sitka Spruce CYP720B4 Catalyzes Multiple Oxidations in Resin Acid Biosynthesis of Conifer Defense against Insects   ","year":2011,"lang":"en","type":"article","venue":"PLANT PHYSIOLOGY","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canadian Forest Service","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Genome British Columbia; Genome Canada","keywords":"Diterpene; Secondary metabolism; Biosynthesis; Gymnosperm; Resin acid; Biology; Biochemistry; Abietic acid; Metabolism; Terpenoid; Terpene; Botany; Enzyme; Chemistry; Rosin","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":[0.0001030356,0.0004577717,0.0001740823,0.0004973142,0.0002853362,0.0003342337,0.0001610403,0.0002280427,0.0008128994],"category_scores_gemma":[0.00006741696,0.0002339647,0.0003118737,0.0003905298,0.0001392478,0.0001473021,0.0002104524,0.0003342011,0.0007662588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003388769,"about_ca_system_score_gemma":0.0001966441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003111067,"about_ca_topic_score_gemma":0.003440887,"domain_scores_codex":[0.9999253,0.00000546981,0.00000478643,0.00003670851,0.00001458763,0.00001321264],"domain_scores_gemma":[0.9999279,0.000006495434,0.00001562219,0.000009070347,0.00001849456,0.00002246693],"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":[0.00005613677,0.00001042241,0.003169224,0.00001772478,0.000008125072,0.00002736637,0.00002212405,0.00005713211,0.9951437,0.00004212586,0.00003036142,0.001415634],"study_design_scores_gemma":[0.00002623654,0.0002544947,0.448366,0.00001790231,0.00009985432,0.001262815,0.0001652451,0.001910377,0.5376073,0.0002061307,0.01005857,0.00002505691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995282,0.0008504807,0.001343985,0.00004668561,0.000008177441,0.0000128925,0.001068543,0.00007997695,0.001307233],"genre_scores_gemma":[0.9829969,0.0007528869,0.002708232,0.00007696155,0.000009194201,0.00002379124,0.00603137,0.00004901332,0.007351694],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003111067,"threshold_uncertainty_score":0.006185889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556889293886207,"score_gpt":0.1994233517768503,"score_spread":0.1838544588379883,"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."}}