Commentary: Health inequity could increase in poor countries if universal HPV vaccination is not adopted
Bibliographic record
Abstract
Commentary: Health inequity could increase in poor countries if universal HPV vaccination is not adopted age standardised annual incidence rates (per 100 000 women) of invasive cervical cancer in 2002 (world population of 1960 as age distribution standard). 8average incidence is estimated mainly from data reported to the international agency for research on Cancer by population based tumour registries.registry coverage is incomplete or non-existent in developing countries, and when available, it provides an over-representation of cancer occurrence in urban areas.Because cervical cancer is more common in multiparous women in resource poor regions and rural areas with no screening or tumour registries, average incidence in many Latin american, sub-Saharan, and Southeast asian countries may underestimate the true burden of cervical cancer
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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 | 0.005 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.063 | 0.032 |
| Insufficient payload (model declined to judge) | 0.015 | 0.008 |
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".