Corrigendum: Designing a polyvalent vaccine targeting multiple strains of varicella zoster virus using integrated bioinformatics approaches
Bibliographic record
Abstract
• please read through all the templates before choosing • pick the most relevant text template(s) from the following page and delete all others. • edit the text as necessary, ensuring that the original incorrect text is included for the record, please see the below. • please do not use any extra formatting when editing the templates, and only modify the red text unless absolutely necessary • submit to Frontiers following the instructions on this page.When the original text contained incorrect information, to preserve the scientific record, please include that text when editing the below templates. For example:There was a mistake in the Funding statement, an incorrect number was used. The correct number is "2015C03Bd051.". The publisher apologizes for this mistake.The original version of this article has been updated. Corrigendum on: Amin Rani N, Moin AT, Patil R, Barketullah Robin T, Zubair T, Nawal N, Sami MRS, Morshed MM, Zhai J, Xue M, Hossain M, Zheng C, Abul Manchur M and Islam NN (2023) Designing a polyvalent vaccine targeting multiple strains of varicella zoster virus using integrated bioinformatics approaches. Front. Microbiol. 14:1291868. doi: 10.3389/fmicb.2023.1291868 In the published article, there was an error in the Acknowledgement statement. [In the Acknowledgment, we mentioned several individuals and organizations as a token of appreciation. However, this might lead readers to mistakenly believe that these individuals and organizations funded our study. We want to make it clear that our study did not receive any funding from any internal or external sources. To prevent any confusion, we kindly ask for your assistance in removing the names from the Acknowledgment section from the published article.]. The correct Acknowledgement statement appears below.[We dedicate this study to the aspiring student researchers of Bangladesh, whose passion for science and research holds the promise of making remarkable contributions to the field.]The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.End of template, if you would like to request a correction for a reason not seen here, please contact the journal's Editorial Office
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".