Structural and functional characterizations of infectivity and immune evasion of SARS-CoV-2 Omicron
Bibliographic record
Abstract
In the originally published version of this paper, the authors noted errors in several parts of the manuscript.In Figure 5C, a typographical error appeared in the table: ''Omicron+R346R'' should read ''Omicron+R346K.''In the STAR Methods section, within the ''Recombinant DNA'' section of the key resources table (the third row, the first column), the mutation ''Q493K'' should be corrected to ''Q493R.''The same correction applies to the second line on page e3 of the PDF, where ''Q493K'' should also be ''Q493R.''In Figure 3F, during image analysis, the same raw negative-stain EM image was accidentally reused in different panels due to a filesaving oversight.Because of the large size of the images, the authors zoomed in to highlight representative parts of the images for detailed observation.The image-saving software automatically stored new files in the last-used directory when they forgot to manually change the path of the folder, which led to duplicate files saved in two folders.This resulted in the raw images for ''Omicron-ACE2 & Trypsin'' and ''Delta-apo'' mistakenly being used for preparing the panels of ''WT-ACE2 & Trypsin'' and ''WT-apo,'' respectively, When zooming in on different regions, the raw image for ''Omicron-ACE2 & Trypsin'' was used both for the ''Omicron-ACE2 & Trypsin'' panel and mistakenly for the ''WT-ACE2 & Trypsin'' panel, causing partial overlap in the published figure.Similarly, the raw image for ''Delta-apo'' was used both for the ''Delta-apo'' panel and mistakenly for the ''WT-apo'' panel, leading to partial overlap.The authors apologize for any confusion these errors may have caused.ll
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".