Bibliographic record
Abstract
In 2007, an estimated 33.2 million people were living with HIV, 2.5 million had become infected, and 2.1 million died from the virus. The majority of infected individuals reside in Africa, where in some countries as many as 33.4% of adults have HIV. In developed countries, effective drug therapies have reduced AIDS-related deaths by over seventy percent each year. These drugs have been so effective that over the last two years the global number of individuals dying from AIDS-related illness has actually declined. These therapies, however, are currently sold for $10,000 USD a year, a purchase price that is not feasible for low income countries where the annual health expenditure may be only $29 per person. A lack of essential medicine is not only a problem for those suffering from AIDS. Low and middle-income countries are disproportionately burdened by many additional chronic and infectious illnesses. The World Health Organization (“WHO”) estimates that one third of the world's population cannot regularly access essential medicines. The WHO cites the high cost of drugs as one of the major hurdles countries face in obtaining access to medication. However, the high cost of these brand-name medications does not reflect their minimal production costs. Drug manufacturers can produce generic versions of these drugs for as little as 1/30th of the cost of their brand-name counterparts.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.023 | 0.001 |
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".