{"id":"W2980832688","doi":"10.1093/nar/gkz882","title":"MIBiG 2.0: a repository for biosynthetic gene clusters of known function","year":2019,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":620,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Biotechnology and Biological Sciences Research Council; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health; National Center for Complementary and Integrative Health; Novo Nordisk Fonden; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Netherlands eScience Center; Statens Naturvidenskabelige Forskningsrad","keywords":"Biology; Function (biology); Gene; Genetics; Computational biology; Gene cluster","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":[0.004215226,0.002921371,0.00260523,0.01263802,0.001542254,0.00548391,0.006214969,0.002497921,0.03016738],"category_scores_gemma":[0.01521136,0.001812997,0.001851028,0.01473734,0.0009609867,0.005956341,0.006690991,0.00380086,0.04204353],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002077228,"about_ca_system_score_gemma":0.005326806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013428,"about_ca_topic_score_gemma":0.004716173,"domain_scores_codex":[0.997871,0.000302177,0.0003874608,0.0005023875,0.0007664495,0.0001704557],"domain_scores_gemma":[0.9932647,0.001294959,0.001145845,0.002144137,0.001305733,0.0008445905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002537045,0.0003346935,0.01164201,0.006788864,0.0004009984,0.0009824442,0.001226607,0.004919838,0.03398119,0.0342808,0.7858558,0.1170496],"study_design_scores_gemma":[0.0002183141,0.0001197173,0.004282629,0.0005915072,0.0001311589,0.0004253928,0.0001874534,0.003253608,0.01223574,0.0146432,0.9637375,0.0001737969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.005559752,0.001757419,0.05069633,0.0007971507,0.0003699093,0.0003205154,0.8370286,0.0932693,0.01020104],"genre_scores_gemma":[0.006119728,0.0009124635,0.04736386,0.0002993455,0.00005126974,0.0004411609,0.9344286,0.008557662,0.001825908],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.03016738,"threshold_uncertainty_score":0.1009199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03563045710569186,"score_gpt":0.3105331778053209,"score_spread":0.274902720699629,"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."}}