Compulsory Licenses: A Tool to Improve Global Access to the HPV Vaccine?
Bibliographic record
Abstract
Cervical cancer disproportionately affects women in lower- and middle-income countries. But the new vaccines developed to prevent infection with some strains of the human papillomavirus (HPV) that cause cervical cancer are priced beyond the reach of most women and health agencies in these regions, due in part to the monopoly pricing power of brand-name companies that hold the patents on the vaccines. Compulsory licenses, which authorize generic competition with patented products, could expand access to HPV vaccines under certain circumstances. If high-quality biogeneric HPV vaccines can be produced at low cost and be broadly and efficiently registered, and if Merck and GSK are unwilling to grant licenses on a voluntary basis, compulsory licensing could play a pivotal role in ensuring vaccinations against HPVare available to all, around the world, regardless of ability to pay.
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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 | 0.016 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.007 | 0.017 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.013 | 0.007 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".