{"id":"W6925196399","doi":"10.17169/refubium-47138","title":"MIBiG 4.0: advancing biosynthetic gene cluster curation through global collaboration","year":2025,"lang":"en","type":"article","venue":"Refubium (Universitätsbibliothek der Freien Universität Berlin)","topic":"Microbial Natural Products and Biosynthesis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HORIZON EUROPE European Innovation Council; National Institute of General Medical Sciences; National Key Research and Development Program of China; European Regional Development Fund; Staatssekretariat für Bildung, Forschung und Innovation; Fundação para a Ciência e a Tecnologia; Japan Society for the Promotion of Science; National Health and Medical Research Council; Biotechnology and Biological Sciences Research Council; Medical Research Council; Natural Sciences and Engineering Research Council of Canada; HORIZON EUROPE Framework Programme; National Agri-Food Biotechnology Institute; Directorate for Biological Sciences; National Institutes of Health; Austrian Science Fund; Lembaga Pengelola Dana Pendidikan; Junta de Andalucía; Novo Nordisk Fonden; National Estuarine Research Reserve System; Universität des Saarlandes; Office of Science; Shanghai Jiao Tong University; Ministry of Education, India; National Natural Science Foundation of China; National Research Foundation of Korea; Deutsche Forschungsgemeinschaft; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Consejo Nacional de Ciencia y Tecnología; Fonds Wetenschappelijk Onderzoek; Fonds National de la Recherche Luxembourg; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Australian Government; Leibniz-Gemeinschaft; Agence Nationale de la Recherche; Vlaamse regering; National Research Foundation; National Science Foundation; UK Research and Innovation; Division of Chemical, Bioengineering, Environmental, and Transport Systems; Department of Biotechnology, Ministry of Science and Technology, India; Department for Environment, Food and Rural Affairs, UK Government; Government of the United Kingdom; U.S. Department of Agriculture; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; H2020 Marie Skłodowska-Curie Actions; University of Illinois at Urbana-Champaign; Ministry of Education and Science of Ukraine; Werner Siemens-Stiftung; Ministry of Science and ICT, South Korea; Novo Nordisk; Deutsches Zentrum für Infektionsforschung; Danmarks Grundforskningsfond; University Grants Commission; Badan Riset dan Inovasi Nasional; Alexander von Humboldt-Stiftung; Agencia Nacional de Investigación y Desarrollo; Innovationsfonden; Ministerio de Ciencia, Innovación y Universidades; Kementerian Pendidikan, Kebudayaan, Riset, dan Teknologi; U.S. Department of Energy","keywords":"Annotation; Gene cluster; Data curation; Product (mathematics); Natural product; Data integration; Cluster (spacecraft); Biological database","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04310678,0.004414273,0.00400703,0.023813,0.004895375,0.01319979,0.007819673,0.002991581,0.02997554],"category_scores_gemma":[0.09932771,0.002857427,0.004020448,0.01727811,0.002531109,0.01119619,0.0299136,0.005354716,0.04804515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002402376,"about_ca_system_score_gemma":0.01486788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004790356,"about_ca_topic_score_gemma":0.007836791,"domain_scores_codex":[0.975816,0.007510414,0.003653646,0.006151468,0.005502156,0.001366367],"domain_scores_gemma":[0.9363777,0.0149761,0.004601122,0.02365509,0.01358701,0.006803001],"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":[0.002152848,0.0003340379,0.011815,0.00977191,0.001376998,0.0009312504,0.009090844,0.003027938,0.04266614,0.02578098,0.7098776,0.1831744],"study_design_scores_gemma":[0.000291065,0.0001752432,0.00600788,0.00161219,0.0002978058,0.0004652102,0.001099788,0.005428526,0.01347969,0.02680616,0.9439791,0.0003573946],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01638994,0.004735797,0.3280942,0.00549294,0.00248799,0.002323834,0.2983008,0.3097914,0.03238309],"genre_scores_gemma":[0.01695299,0.001730961,0.3476026,0.001506911,0.0004151005,0.00261466,0.5609202,0.06117123,0.007085378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04310678,"threshold_uncertainty_score":0.2279732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007613965369037903,"score_gpt":0.2598452108781109,"score_spread":0.252231245509073,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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