{"id":"W1974321430","doi":"10.1073/pnas.0905226106","title":"Old substrates for new enzymes of terpenoid biosynthesis","year":2009,"lang":"en","type":"letter","venue":"Proceedings of the National Academy of Sciences","topic":"Plant biochemistry and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia","funders":"Genome British Columbia; Max-Planck-Gesellschaft; Natural Sciences and Engineering Research Council of Canada; European Commission; Genome Canada; Michigan State University","keywords":"Bacillus sphaericus; Bacillus thuringiensis; Culex quinquefasciatus; Biology; Bacteria; Microbiology; Homology (biology); Terpenoid; Toxin; Enzyme; SUPERFAMILY; Bacillales; Biochemistry; Amino acid; Botany; Larva; Genetics; Gene; Bacillus subtilis","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":[0.0005597933,0.0001999245,0.0002896412,0.00009604129,0.00008632078,0.00001759053,0.001248511,0.0006211788,0.000008692349],"category_scores_gemma":[0.0006160283,0.0001364835,0.0002540159,0.0002234777,0.0005820357,0.00001331043,0.0000894041,0.0001975336,2.792143e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009324019,"about_ca_system_score_gemma":0.00009788184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004836746,"about_ca_topic_score_gemma":5.255394e-8,"domain_scores_codex":[0.9983336,0.00000563411,0.0004143968,0.0003913348,0.0006471765,0.0002078757],"domain_scores_gemma":[0.9987998,0.000113186,0.0007990841,0.00001870781,0.0002410118,0.0000282005],"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":[0.00002616272,0.00001749561,0.00009620556,0.000178343,0.00003886582,5.991732e-9,0.000005833191,0.000001677141,0.7451838,0.0001701817,0.2540625,0.000218895],"study_design_scores_gemma":[0.00009004901,0.00008957794,0.0004545071,0.0001786943,0.00004617811,0.000008792142,0.00001414016,0.000006606492,0.9562818,0.00351879,0.03916067,0.0001501638],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5956402,0.002239027,0.000002152077,0.3932471,0.00006489938,0.0008096701,0.001403162,0.00001581471,0.00657795],"genre_scores_gemma":[0.9592267,0.0002338415,0.002470577,0.03303992,0.00172266,0.0000125332,0.00001812974,0.00001434134,0.003261257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3635865,"threshold_uncertainty_score":0.5565635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216259407090442,"score_gpt":0.2735619645114371,"score_spread":0.2413993704405327,"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."}}