Bibliographic record
Abstract
This summer marks the 25th anniversary of the first scientific description of the AIDS epidemic.1 Since the publication of the initial report describing 5 cases of an unknown disease, the epidemic has grown at an exponential rate. An estimated 40300000 people are living with HIV infection around the globe, of whom 4900000 were infected during the year 2005 alone.2 The explosive trends in the global epidemic have also occurred in the United States; an estimated 925000 to 1025000 HIV-seropositive persons resided within the United States in 2003.3 Unless we find ways to field effective AIDS prevention and treatment programs on a global basis, we will continue to stand witness as a dangerous epidemic spins out of control, with tragic repercussions for the rest of this new century. Here, we identify the most prominent attributes of AIDS—already evident at the quarter century milepost—that challenge the effective functioning of prevention and treatment efforts and identify some initial successes that may provide guidance for future advances in managing the epidemic.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.003 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.020 | 0.010 |
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".