Overview of Hepatitis C Elimination Efforts in Pakistan and the Launch of Prime Minister’s Programme for the Elimination of Hepatitis C
Bibliographic record
Abstract
Hepatitis B and C are serious viral infections that cancause liver damage and death. According to the WorldHealth Organization (WHO), there are currently 2.8 millionpeople living with hepatitis B in Pakistan, and 9.8 millionpeople living with hepatitis C.1 These numbers representa significant burden of disease for the country. Thecurrent prevalence of hepatitis B in Pakistan is 1.1%,which corresponds to one-quarter of the burden of thedisease in the Eastern Mediterranean region.1 Theprevalence of hepatitis C is 7.5%, which is the highest inthe world. Almost 37,000 people die each year in Pakistandue to hepatitis B and C.2 The high prevalence of hepatitisB and C in Pakistan is a major public health concern. Theseinfections can lead to serious health complications,including liver cancer and cirrhosis. The economic cost ofhepatitis in Pakistan is also significant, due to lostproductivity and healthcare expenses. Continued...
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".