{"id":"W2114973994","doi":"10.1002/anie.201405990","title":"Forazoline A: Marine‐Derived Polyketide with Antifungal In Vivo Efficacy","year":2014,"lang":"en","type":"article","venue":"Angewandte Chemie International Edition","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Research Resources; National Institute of Allergy and Infectious Diseases; National Human Genome Research Institute; Great Lakes Bioenergy Research Center; National Institute of General Medical Sciences; Canadian Institute for Advanced Research; University of Wisconsin-Madison; U.S. Public Health Service; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy; National Institutes of Health; National Science Foundation","keywords":"Polyketide; Antifungal; Natural product; Yeast; In vivo; Metabolomics; Computational biology; Biology; Marine invertebrates; Bacteria; Candida albicans; Chemistry; Stereochemistry; Microbiology; Biochemistry; Genetics; Gene; Bioinformatics; Biosynthesis; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001491947,0.0001357417,0.0001830656,0.0001282923,0.00003024617,0.00002451359,0.00009096765,0.00007857076,0.001475175],"category_scores_gemma":[0.0002579564,0.0001007875,0.00005373233,0.0001310378,0.00005410306,0.0001352538,0.00004190454,0.0001709629,0.00002039437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008564853,"about_ca_system_score_gemma":0.00002820169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009682886,"about_ca_topic_score_gemma":0.00006043269,"domain_scores_codex":[0.9991067,0.00001119898,0.0002022097,0.0002681362,0.0002495548,0.0001621756],"domain_scores_gemma":[0.9994864,0.00006179265,0.00008109388,0.0001394817,0.0001675521,0.0000636273],"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":[0.0006439802,0.0001973051,0.003256987,0.00003084415,0.00004744425,0.00002013053,0.00003283097,0.000003028687,0.9812929,0.000133581,0.01144114,0.002899802],"study_design_scores_gemma":[0.001686785,0.0001075095,0.02295389,0.0001536639,0.00002773339,0.00006926309,0.0000132007,0.00006158717,0.9502863,0.00007702658,0.02443752,0.0001254767],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716026,0.00002252779,0.0003553866,0.00962299,0.0005906274,0.0002303351,0.00003591379,0.00006458638,0.01747499],"genre_scores_gemma":[0.9945271,0.0000466181,0.0008432494,0.0008464842,0.002072139,0.000002884075,0.0003033734,0.0000168976,0.001341278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03100658,"threshold_uncertainty_score":0.9994376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009792198579965236,"score_gpt":0.2418439218278297,"score_spread":0.2320517232478645,"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."}}