{"id":"W2884008478","doi":"10.1002/anie.201805673","title":"Genome‐Based Identification of a Plant‐Associated Marine Bacterium as a Rich Natural Product Source","year":2018,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"H2020 European Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Alexander von Humboldt-Stiftung","keywords":"Biology; Natural product; Genome; Gene cluster; Gene; Bacteria; Polyketide synthase; Whole genome sequencing; Shewanella; Polyketide; Horizontal gene transfer; Genetics; Computational biology; Biochemistry; Biosynthesis","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00009392297,0.0002565472,0.0002421548,0.0005617019,0.0001660752,0.0004116232,0.0001349722,0.000283559,0.0004602085],"category_scores_gemma":[0.0001540715,0.000102932,0.0002781983,0.0005703056,0.0001204763,0.0001774261,0.0003019356,0.0003095663,0.0003760224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001518532,"about_ca_system_score_gemma":0.0003487263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007282294,"about_ca_topic_score_gemma":0.001184261,"domain_scores_codex":[0.9999439,0.000006240892,0.00000415873,0.00001754257,0.00001725028,0.00001084786],"domain_scores_gemma":[0.9999185,0.00001556473,0.00001534726,0.00001139664,0.00001499317,0.00002416546],"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":[0.0001539721,0.00003232378,0.002287732,0.00007529457,0.00001062747,0.000144369,0.00003989392,0.0001079243,0.9902744,0.00009561349,0.00008102857,0.006696915],"study_design_scores_gemma":[0.00007342309,0.0009812361,0.1771218,0.00009673574,0.0003051105,0.002975267,0.0007496522,0.00636043,0.7841996,0.0007161423,0.02637209,0.00004854141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786551,0.00226698,0.00873876,0.0002458935,0.00003577807,0.0001022418,0.006690266,0.0002397376,0.003025098],"genre_scores_gemma":[0.9567596,0.001807305,0.02665833,0.00009605443,0.00001202072,0.00005088726,0.01290421,0.00003774331,0.001673874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007282294,"threshold_uncertainty_score":0.001539528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01108275950593331,"score_gpt":0.248035749043943,"score_spread":0.2369529895380097,"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."}}