Comparing the Efficacy and Safety of the Pfizer BNT162b2 Vaccine with Other Alternatives Under COVID-19
Bibliographic record
Abstract
In an epidemic or pandemic caused by a pathogen that has never been encountered, scientists have to compete against time to develop new vaccines. Vaccination effectively prevents the spread of the disease and saves lives. Under the COVID-19 crisis, several types of vaccines were developed and authorized as Emergency Use Authorization (EUA), including the first mRNA vaccine product ever approved by FDA, the BNT162b1. The transiently expressed mRNA does not encounter the problem of genome integration with the host and it takes less time to develop, which differentiates it from alternative types such as inactivated and subunit vaccines. This paper attempts to present the difference of the BNT162b2 mRNA vaccine from the Novavax subunit vaccine, and the Sinovac inactivated vaccine, in terms of COVID-19 prevention and adverse events, therefore attempts to provide a better understanding of the behaviors of mRNA vaccines under COVID-19.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".