COVID-19 Vaccine: A Global Race
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The emergence of the new coronavirus SARS-CoV-2, at the end of 2019, triggered the worst pandemic of the last century, called COVID-19. Unlike SARS-CoV-1, which developed as an epidemic in 1996 but was limited to Asia, the new SARS -CoV-2 spread rapidly to millions of people worldwide, with a high mortality rate. Deciphering the structure of the viral S and SARS-CoV genome-2 allowed the identification of targets for vaccination, the most important being the viral protein S. The development of -COVID-19 vaccines is based on use innovative biotechnologies, some even experimental. Experience in vaccines SARS-CoV-1-MERS-CoV and may be useful for designing bad vaccine by emerging virus of SARS-CoV-2. Developing a vaccine anti-COVID-19 efficient, safe and accessible in the shortest possible time, remains the biggest challenge overall, in the race to limit pandemic today.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it