{"id":"W3010629926","doi":"10.1038/s41587-020-0446-y","title":"MEMOTE for standardized genome-scale metabolic model testing","year":2020,"lang":"en","type":"letter","venue":"Nature Biotechnology","topic":"Microbial Metabolic Engineering and Bioproduction","field":"Biochemistry, Genetics and Molecular Biology","cited_by":549,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"Argonne National Laboratory; Centro Nacional de Biotecnología; Biological and Environmental Research; National Institute of General Medical Sciences; National Cancer Institute; Instituto de Tecnologia Química e Biológica, Universidade Nova de Lisboa; Max Planck Institute for Dynamics of Complex Technical Systems Magdeburg; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; National Institutes of Health; Advanced Scientific Computing Research; German Network for Bioinformatics Infrastructure; Novo Nordisk Fonden; University of California, San Diego; Norges Miljø- og Biovitenskapelige Universitet; Eli Lilly and Company; Danmarks Tekniske Universitet; RWTH Aachen University; Korea Advanced Institute of Science and Technology; Humboldt-Universität zu Berlin; Knut och Alice Wallenbergs Stiftelse; Universidad Politécnica de Madrid; Rural Development Administration; U.S. National Library of Medicine; Chalmers Tekniska Högskola; Hanzehogeschool Groningen; Sungkyunkwan University; Universiteit Leiden; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Eberhard Karls Universität Tübingen; School of Medicine, University of California, San Diego; Universidade Nova de Lisboa; Norges Forskningsråd; Kungliga Tekniska Högskolan; National Center for Complementary and Integrative Health; Vrije Universiteit Amsterdam; University of Toronto; Chinese Academy of Sciences; Oxford Brookes University; Deutsche Forschungsgemeinschaft; National Research Foundation; Innovationsfonden; Bundesministerium für Bildung und Forschung; Wellcome Trust; Ministry of Science and ICT, South Korea; Coordinación de la Investigación Científica; European Molecular Biology Laboratory; Novo Nordisk; Consejo Superior de Investigaciones Científicas; Agency for Science, Technology and Research; Deutsches Zentrum für Infektionsforschung; Wageningen University and Research; Commonwealth Scientific and Industrial Research Organisation; University of Arkansas for Medical Sciences; Bill and Melinda Gates Foundation; Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria; Universidade do Minho; W. M. Keck Foundation; King's College London; European Bioinformatics Institute; Washington Research Foundation; European Commission; U.S. Department of Energy; University of Queensland; Science for Life Laboratory; National Science Foundation","keywords":"European union; Excellence; Political science; Library science; European commission; Basic research; Research council; Public administration; Management; Business; Economics; International trade; Computer science; Government (linguistics); Law; Philosophy","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006540582,0.0009551425,0.001013787,0.0007802058,0.001223641,0.002244973,0.002707702,0.007984164,0.03772961],"category_scores_gemma":[0.008899439,0.0008334586,0.000909779,0.0006864978,0.001030475,0.002576305,0.002562299,0.008623355,0.02661175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001373092,"about_ca_system_score_gemma":0.001583835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008236671,"about_ca_topic_score_gemma":0.002870977,"domain_scores_codex":[0.9959038,0.0008715132,0.0002064781,0.0003290727,0.002364913,0.0003242225],"domain_scores_gemma":[0.9957742,0.001700214,0.0002210899,0.001001322,0.0008068897,0.0004962142],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006481239,0.000187892,0.0003017208,0.0001913533,0.00003178792,0.0005924316,0.00004041845,0.0006912916,0.03385276,0.05130566,0.8329966,0.07916004],"study_design_scores_gemma":[0.0001043076,0.0001404615,0.0002666031,0.00005238854,0.00001208962,0.000210086,0.00002168544,0.002620063,0.0209598,0.01794296,0.9576301,0.00003951275],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.008911673,0.01289174,0.2628704,0.3078265,0.1161778,0.001369033,0.01095573,0.01919943,0.2597977],"genre_scores_gemma":[0.08728535,0.009808844,0.2061467,0.1772517,0.0156727,0.004670116,0.01351386,0.004649709,0.481001],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9934594,"threshold_uncertainty_score":0.1262181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00960421020944565,"score_gpt":0.2296769343945973,"score_spread":0.2200727241851517,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). 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