Author Correction: A synthetic nanobody targeting RBD protects hamsters from SARS-CoV-2 infection
Bibliographic record
Abstract
Author notes These authors contributed equally: Tingting Li, Hongmin Cai, Hebang Yao, Bingjie Zhou, Ning Zhang. Authors and Affiliations State Key Laboratory of Molecular Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (CAS), Shanghai, China Tingting Li, Hongmin Cai, Hebang Yao, Wenyu Han, Yanling Lai, Yanxing Wang, Juan Bao, Caixuan Liu, Yifan Wang, Yao Cong & Dianfan Li University of CAS, Beijing, China Bingjie Zhou, Wenyu Han, Yuhuan Gong, Yapei Zhao, Yanling Lai, Caixuan Liu, Yifan Wang & Yuhai Bi CAS Key Laboratory of Molecular Virology & Immunology, Institut Pasteur of Shanghai CAS, Shanghai, China Bingjie Zhou, Yapei Zhao, Shu-Ming Kuo, Jiaming Lan, Gary Wong & Dimitri Lavillette CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), CAS, Beijing, China Ning Zhang, Yuhuan Gong, Quan Shen & Yuhai Bi Erasmus Laboratory Animal Science Center, Erasmus University Medical Center, Rotterdam, Netherlands Martje Fentener van Vlissingen European Research Infrastructure on Highly Pathogenic Agents (ERINHA-AISBL), Paris, France Martje Fentener van Vlissingen, Thijs Kuiken, Corine H. GeurtsvanKessel, Audrey S. Richard, Hervé Raoul & Barry Rockx Department of Viroscience, Erasmus University Medical Center, Rotterdam, Netherlands Thijs Kuiken, Corine H. GeurtsvanKessel & Barry Rockx National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute (Zhangjiang Laboratory), CAS, Shanghai, China Wenming Qin, Xiao-Xu Tian & Chao Peng Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland Cedric A. J. Hutter & Markus A. Seeger Département de microbiologie-infectiologie et d’immunologie, Université Laval, Québec, QC, Canada Gary Wong Pasteurien College, Soochow University, Jiangsu, China Dimitri Lavillette Authors Tingting Li View author publications You can also search for this author in PubMed Google Scholar Hongmin Cai View author publications You can also search for this author in PubMed Google Scholar Hebang Yao View author publications You can also search for this author in PubMed Google Scholar Bingjie Zhou View author publications You can also search for this author in PubMed Google Scholar Ning Zhang View author publications You can also search for this author in PubMed Google Scholar Martje Fentener van Vlissingen View author publications You can also search for this author in PubMed Google Scholar Thijs Kuiken View author publications You can also search for this author in PubMed Google Scholar Wenyu Han View author publications You can also search for this author in PubMed Google Scholar Corine H. GeurtsvanKessel View author publications You can also search for this author in PubMed Google Scholar Yuhuan Gong View author publications You can also search for this author in PubMed Google Scholar Yapei Zhao View author publications You can also search for this author in PubMed Google Scholar Quan Shen View author publications You can also search for this author in PubMed Google Scholar Wenming Qin View author publications You can also search for this author in PubMed Google Scholar Xiao-Xu Tian View author publications You can also search for this author in PubMed Google Scholar Chao Peng View author publications You can also search for this author in PubMed Google Scholar Yanling Lai View author publications You can also search for this author in PubMed Google Scholar Yanxing Wang View author publications You can also search for this author in PubMed Google Scholar Cedric A. J. Hutter View author publications You can also search for this author in PubMed Google Scholar Shu-Ming Kuo View author publications You can also search for this author in PubMed Google Scholar Juan Bao View author publications You can also search for this author in PubMed Google Scholar Caixuan Liu View author publications You can also search for this author in PubMed Google Scholar Yifan Wang View author publications You can also search for this author in PubMed Google Scholar Audrey S. Richard View author publications You can also search for this author in PubMed Google Scholar Hervé Raoul View author publications You can also search for this author in PubMed Google Scholar Jiaming Lan View author publications You can also search for this author in PubMed Google Scholar Markus A. Seeger View author publications You can also search for this author in PubMed Google Scholar Yao Cong View author publications You can also search for this author in PubMed Google Scholar Barry Rockx View author publications You can also search for this author in PubMed Google Scholar Gary Wong View author publications You can also search for this author in PubMed Google Scholar Yuhai Bi View author publications You can also search for this author in PubMed Google Scholar Dimitri Lavillette View author publications You can also search for this author in PubMed Google Scholar Dianfan Li View author publications You can also search for this author in PubMed Google Scholar Corresponding authors Correspondence to Gary Wong , Yuhai Bi , Dimitri Lavillette or Dianfan Li .
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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.030 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.011 |
| Insufficient payload (model declined to judge) | 0.022 | 0.018 |
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.
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.
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".