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Author Correction: Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance
Patrick Munk, Christian Brinch, Frederik Duus Møller, Thomas Nordahl Petersen, René S. Hendriksen, Anne Mette Seyfarth, Jette Sejer Kjeldgaard, Christina Aaby Svendsen, Bram van Bunnik, Fanny Berglund, Artan Bego, P.P. Power, Catherine A. Rees, Dionisia Lambrinidis, Elizabeth Heather Jakobsen Neilson, Karen Gibb, Kris Coventry, Peter Collignon, Susan Cassar, Franz Allerberger, Anowara Begum, Zenat Zebin Hossain, Carlon Worrell, Olivier Vandenberg, Ilse Y. Pieters, Victorien Dougnon, Angela Daniela Salazar Gutierrez, Freddy Soria, Vesna Rudić Grujić, Nataša Mazalica, Teddie O. Rahube, Carlos Alberto Tagliati, Dália dos Prazeres Rodrigues, Guilherme Oliveira, Larissa Camila Ribeiro de Souza, Ivan Ivanov, Bonkoungou Isidore Juste, Traoré Soumana Oumar, Thet Sopheak, Yith Vuthy, Antoinette Ngandjio, Ariane Nzouankeu, Ziem A. Abah Jacques Olivier, Christopher K. Yost, Pratik Kumar, Satinder Kaur Brar, Djim-Adjim Tabo, Aiko D. Adell, Esteban Paredes-Osses, Maria Cristina Martinez, Changwen Ke, Huanying Zheng, Li Baisheng, Lok Ting Lau, Teresa Chung, Xiaoyang Jiao, Yongjie Yu, Zhao JiaYong, Johan F. Bernal Morales, María Fernanda Valencia, Pilar Donado-Godoy, Kalpy Julien Coulibaly, Jasna Hrenović, Matijana Jergović, Renáta Karpíšková, Zozo Nyarukweba Deogratias, Bodil Elsborg, Lisbeth Truelstrup Hansen, Pernille Erland Jensen, M. Abouelnaga, Mohamed A. Salem, Marliin Koolmeister, Mengistu Legesse, Tadesse Eguale, Annamari Heikinheimo, Soizick Le Guyader, Julien Schaeffer, José E. Villacís, Bakary Sanneh, Lile Malania, Andreas Nitsche, Annika Brinkmann, Sara Schubert, Sina Hesse, Thomas U. Berendonk, Courage Kosi Setsoafia Saba, Jibril Mohammed, Patrick Kwame Feglo, Regina Ama Banu, Charalampos Kotzamanidis, Efthymios Lytras, Sergio A. Lickes, Béla Kocsis, Norbert Solymosi, Thorunn R. Thorsteinsdottir, A. A. Mohamed Hatha, Mamatha Ballal, Sohan Rodney Bangera, Fereshteh Fani, Masoud Alebouyeh, Dearbháile Morris, Louise O’Connor, Martin Cormican, Jacob Moran‐Gilad, Antonio Battisti, Elena Lavinia Diaconu, Gianluca Corno, Andrea Di Cesare, Patricia Alba, Junzo Hisatsune, Liansheng Yu, Makoto Kuroda, Motoyuki Sugai, Shizuo Kayama, Zeinegul Shakenova, Ciira Kiiyukia, Eric Ng’eno, Lul Raka, Kazi Jamil, Saja A. Fakhraldeen, Tareq Alaati, Aivars Bērziņš, Jeļena Avsejenko, Kristīna Tihomirova, Madara Streikiša, Vadims Bartkevičs, Ghassan M. Matar, Ziad Daoud, Asta Pereckienė, Ceslova Butrimaite‐Ambrozeviciene, Christian Penny, Alexandra Bastaraud, Tiavina Rasolofoarison, Jean‐Marc Collard, Luc Hervé Samison, Mala Rakoto‐Andrianarivelo, Daniel Lawadi Banda, Arshana Amin, Sivachandran Parimannan, David Spiteri, Malcolm Vella Haber, Sunita J. Santchurn, Aleksandar Vujacic, Dijana Djurović, Brahim Bouchrif, Bouchra Karraouan, Delfino Vubil, Pushkar Pal, Heike Schmitt, Mark van Passel, Gert‐Jan Jeunen, Neil J. Gemmell, Stephen T. Chambers, Fania Perez Mendoza, Jorge Huete-Pιrez, Samuel Vilchez, Akeem Olayiwola Ahmed, Ibrahim Raufu Adisa, Ismail Ayoade Odetokun, Kayode Fashae, Anne-Marie Sørgaard, Astrid Louise Wester, Pia Ryrfors, Rune Holmstad, Mashkoor Mohsin, Rumina Hasan, Sadia Shakoor, Natalie Weiler Gustafson, Claudia Huber Schill, Maria Luz Zamudio Rojas, Jorge Echevarria Velasquez, Bonifacio B. Magtibay, Kris Catangcatang, Ruby Sibulo, Felipe Campos Yauce, Dariusz Wasyl, Célia M. Manaia, Jaqueline Rocha, José C. Martins, Pedro Cuesta Álvaro, Doris Yoong Wen Di, Hanseob Shin, Hor‐Gil Hur, Sukhwan Yoon, Golubinka Boševska, Mihail Kochubovski, Radu Cojocaru, Olga Burduniuc, Pei‐Ying Hong, Meghan Perry, Amy Gassama, Vladimir Radosavljević, Moon Y. F. Tay, Rogelio Zuniga-Montanez, Stefan Wuertz, Dagmar Gavačová, Katarína Pastuchová, Peter Truska, Marija Trkov, Karen H. Keddy, Kerneels Esterhuyse, Min Song, Marcos Quintela‐Baluja, Mariano Gómez López, Marta Cerdà‐Cuéllar, R. R. D. P. Perera, N.K.B.K.R.G.W. Bandara, H. I. Premasiri, Sujatha Pathirage, Kareem Charlemagne, Carolin Rutgersson, Leif Norrgren, Stefan Örn, R. Boss, Tanja Van der Heijden, Yu-Ping Hong, Happiness Kumburu, Robinson H. Mdegela, Yaovi Mahuton Gildas Hounmanou, Kaknokrat Chonsin, Orasa Suthienkul, Visanu Thamlikitkul, Ana Maria de Roda Husman, Bawimodom Bidjada, Berthe‐Marie Njanpop‐Lafourcade, Somtinda Christelle Nikiema-Pessinaba, Belkıs Levent, Cemil Kürekçi, Francis Ejobi, John Bosco Kalule, Jens Thomsen, Ouidiane Obaidi, Laila Mohamed Jassim, Andrew S. Moore, Anne Leonard, David W. Graham, Joshua T. Bunce, Lihong Zhang, William H. Gaze, Brett Lefor, Drew Capone, Emanuele Sozzi, Joe Brown, John Scott Meschke, Mark D. Sobsey, Michael C. Davis, Nicola K. Beck, Pardi Sukapanpatharam, Phuong Kim Truong, Ronald Lilienthal, Sanghoon Kang, Thomas E. Wittum, Natalia Rigamonti, Patricia Baklayan, Chinh Dang Van, Doan Minh Nguyen Tran, Nguyen Do Phuc, Geoffrey Kwenda, D. G. Joakim Larsson, Marion Koopmans, Mark Woolhouse, Frank M. Aarestrup
Bibliographic record
VenueNature Communications · 2023
Typeerratum
Languageen
FieldEnvironmental Science
TopicPharmaceutical and Antibiotic Environmental Impacts
Canadian institutionsYork UniversityInstitut National de la Recherche ScientifiqueUniversity of Regina
FundersNovo Nordisk Fonden
KeywordsAntibiotic resistanceResistance (ecology)AntimicrobialComputational biologyBiologyBiotechnologyGeographyGeneticsMicrobiologyEcologyBacteria
Abstract
In this article, the affiliation details for Author Sara Cuadros-Orellana were incorrectly given as ‘Centro de Biotecnologνa de los Recursos Naturales, Facultad de Ciencias Agrarias y Forestales, Talca, Chile’ but should have been ‘Universidad Catolica del Maule, Centro de Biotecnología de los Recursos Naturales, Facultad de Ciencias Agrarias y Forestales, Talca, Chile’.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.128
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.044 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.038 | 0.026 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.023
GPT teacher head0.316
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations4
Published2023
Admission routes1
Has abstractyes