Author Correction: Whole-genome profiling of nasopharyngeal carcinoma reveals viral-host co-operation in inflammatory NF-κB activation and immune escape
Bibliographic record
Abstract
Author notes These authors contributed equally: Jeff P. Bruce, Ka-Fai To, Vivian W. Y. Lui, Grace T. Y. Chung. Authors and Affiliations Princess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada Jeff P. Bruce, Samah El Ghamrasni, Stephenie Prokopec, Fei-Fei Liu & Trevor J. Pugh Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong SAR, China Ka-Fai To, Grace T. Y. Chung, Yuk-Yu Chan, Chi Man Tsang, Michael K. F. Mak, Chit Chow, Sharmila Velapasamy, Yvonne Y. Y. Or, Pui Kei Siu, Man Wu, Johnny S. H. Kwan & Kwok-Wai Lo State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China Ka-Fai To, Brigette B. Y. Ma, Edwin P. Hui & Kwok-Wai Lo School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China Vivian W. Y. Lui & Yuchen Liu Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China Kevin Y. Yip, Sau-Dan Lee & Anthony T. C. Chan Sir Y.K. Pao Centre for Cancer, The Chinese University of Hong Kong, Hong Kong SAR, China Brigette B. Y. Ma & Edwin P. Hui Department of Clinical Oncology, The Chinese University of Hong Kong, Hong Kong SAR, China Brigette B. Y. Ma & Edwin P. Hui Department of Otorhinolaryngology, Head and Neck Surgery, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong SAR, China John K. S. Woo, Jason Y. K. Chan & C. Andrew van Hasselt Warwick Medical School, University of Warwick, Coventry, UK Lawrence S. Young & Christopher W. Dawson Department of Oral & Craniofacial Sciences and Oral Cancer Research and Coordinating Centre, University of Malaya, Kuala Lumpur, Malaysia Ian C. Paterson & Lee-Fah Yap School of Biomedical Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China Sai-Wah Tsao Department of Radiation Oncology, University of Toronto, Toronto, ON, Canada Fei-Fei Liu Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada Trevor J. Pugh Ontario Institute for Cancer Research, Toronto, ON, Canada Trevor J. Pugh Authors Jeff P. Bruce View author publications You can also search for this author in PubMed Google Scholar Ka-Fai To View author publications You can also search for this author in PubMed Google Scholar Vivian W. Y. Lui View author publications You can also search for this author in PubMed Google Scholar Grace T. Y. Chung View author publications You can also search for this author in PubMed Google Scholar Yuk-Yu Chan View author publications You can also search for this author in PubMed Google Scholar Chi Man Tsang View author publications You can also search for this author in PubMed Google Scholar Kevin Y. Yip View author publications You can also search for this author in PubMed Google Scholar Brigette B. Y. Ma View author publications You can also search for this author in PubMed Google Scholar John K. S. Woo View author publications You can also search for this author in PubMed Google Scholar Edwin P. Hui View author publications You can also search for this author in PubMed Google Scholar Michael K. F. Mak View author publications You can also search for this author in PubMed Google Scholar Sau-Dan Lee View author publications You can also search for this author in PubMed Google Scholar Chit Chow View author publications You can also search for this author in PubMed Google Scholar Sharmila Velapasamy View author publications You can also search for this author in PubMed Google Scholar Yvonne Y. Y. Or View author publications You can also search for this author in PubMed Google Scholar Pui Kei Siu View author publications You can also search for this author in PubMed Google Scholar Samah El Ghamrasni View author publications You can also search for this author in PubMed Google Scholar Stephenie Prokopec View author publications You can also search for this author in PubMed Google Scholar Man Wu View author publications You can also search for this author in PubMed Google Scholar Johnny S. H. Kwan View author publications You can also search for this author in PubMed Google Scholar Yuchen Liu View author publications You can also search for this author in PubMed Google Scholar Jason Y. K. Chan View author publications You can also search for this author in PubMed Google Scholar C. Andrew van Hasselt View author publications You can also search for this author in PubMed Google Scholar Lawrence S. Young View author publications You can also search for this author in PubMed Google Scholar Christopher W. Dawson View author publications You can also search for this author in PubMed Google Scholar Ian C. Paterson View author publications You can also search for this author in PubMed Google Scholar Lee-Fah Yap View author publications You can also search for this author in PubMed Google Scholar Sai-Wah Tsao View author publications You can also search for this author in PubMed Google Scholar Fei-Fei Liu View author publications You can also search for this author in PubMed Google Scholar Anthony T. C. Chan View author publications You can also search for this author in PubMed Google Scholar Trevor J. Pugh View author publications You can also search for this author in PubMed Google Scholar Kwok-Wai Lo View author publications You can also search for this author in PubMed Google Scholar Corresponding authors Correspondence to Trevor J. Pugh or Kwok-Wai Lo .
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 | 0.004 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.074 | 0.032 |
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".