{"id":"W3163970933","doi":"10.1016/j.cell.2021.05.002","title":"A global metagenomic map of urban microbiomes and antimicrobial resistance","year":2021,"lang":"en","type":"article","venue":"Cell","topic":"Gut microbiota and health","field":"Biochemistry, Genetics and Molecular Biology","cited_by":382,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Clinical and Translational Science Center, Weill Cornell Medical College; National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; National Institute on Drug Abuse; National Center for Advancing Translational Sciences; Medical Research Council; Weill Cornell Medical College; Hunter College; Office of Science; Ministry of Education and Science of Ukraine; York University; Ministry of Education, India; Japan Society for the Promotion of Science; Joint Genome Institute; Keio University; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Cheng Kung University; Ministerio de Economía y Competitividad; Generalitat de Catalunya; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; WorldQuant Foundation; National Energy Research Scientific Computing Center; City University of New York; Vallee Foundation; Alfred P. Sloan Foundation; National Science Foundation; Bill and Melinda Gates Foundation; East China Normal University; National Aeronautics and Space Administration; National Institute of General Medical Sciences; Centres de Recerca de Catalunya; U.S. Department of Energy; Pershing Square Sohn Cancer Research Alliance","keywords":"Metagenomics; Biology; Geospatial analysis; Microbiome; Antibiotic resistance; Microbial genetics; Computational biology; Ecology; Genetics; Gene; Bacteria; Cartography; Geography","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":[0.0002145507,0.0003806213,0.0002686421,0.003577252,0.0004606278,0.0009671292,0.0001959288,0.0002257478,0.002541631],"category_scores_gemma":[0.0004461867,0.0001938287,0.000445439,0.004500133,0.0001854852,0.0005311268,0.001189798,0.0003226468,0.0005654263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003169136,"about_ca_system_score_gemma":0.0006271665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005456218,"about_ca_topic_score_gemma":0.01140709,"domain_scores_codex":[0.9998379,0.000017843,0.000008038577,0.00006840185,0.00002684045,0.00004099422],"domain_scores_gemma":[0.9996345,0.0000477718,0.0001141342,0.00005308481,0.00008476006,0.00006575398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007458571,0.00008171198,0.5782982,0.001160686,0.0007186007,0.0004622371,0.002241551,0.008153763,0.2611908,0.003502063,0.007407355,0.1360372],"study_design_scores_gemma":[0.00001223781,0.00009589869,0.9549223,0.00009049568,0.0001730879,0.0004845833,0.001238687,0.003590853,0.006025692,0.001568218,0.03176148,0.00003660323],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886889,0.002724191,0.01588196,0.0003453874,0.00002564256,0.00006737756,0.08365229,0.0007279165,0.007886429],"genre_scores_gemma":[0.9048558,0.00183891,0.03335302,0.0001404372,0.00002272126,0.0001297769,0.05740292,0.0001803867,0.002076056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005456218,"threshold_uncertainty_score":0.01084888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005252892460310816,"score_gpt":0.2224010573227059,"score_spread":0.2171481648623951,"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."}}