Covid-19: An urgent call for global “vaccines-plus” action
Bibliographic record
Abstract
Covid-19: An urgent call for global "vaccines-plus" action , , SARS-CoV-2 has infected more than 278 million people globally, with at least 5.4 million deaths recorded by the World Health Organisation as of 26 December 2021.The omicron (B.1.1.529)variant of concern is spreading rapidly. 1 Some countries view infection as a net harm and pursue strategies ranging from suppression to elimination. 2 They seek to sustain low infection rates through a combination of vaccination, public health measures, and financial support measures (vaccines-plus).Other countries implemented mitigation strategies that aim to prevent health systems from being overwhelmed by building population immunity through a combination of infection and vaccination.These countries rely on a vaccines-only approach and seem willing to tolerate high levels of infection provided their healthcare systems can cope.
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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 | 0.022 | 0.025 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.005 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.009 |
| Research integrity | 0.041 | 0.024 |
| Insufficient payload (model declined to judge) | 0.105 | 0.060 |
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".