Bibliographic record
Abstract
The outbreak of severe acute respiratory syndrome (SARS) has slowed considerably, with only 182 new cases worldwide in the week to 2 June, taking the total to 8384. However, the disease claimed another 45 lives during the week, and the death toll stood at 770 people. The World Health Organization is cautiously optimistic that the outbreak in China is now under control and that the disease is on the decline in Taiwan, but Canada is experiencing a fresh outbreak linked to four Toronto hospitals. “As we approach the three month mark since the global alert was issued on 12 March, we are confident that the SARS outbreak is well on its way to being contained globally,” said Peter Cordingley, WHO's spokesman in Manila. “However, there are still pockets of anxiety, particularly in the more remote provinces of China and possibly Taiwan, and what has happened in Toronto should be a lesson to health authorities everywhere that nobody can afford to let their guard down,” he added. By 2 June Canada had reported 198 probable cases, and the new outbreak has put Canada back on WHO's list of areas with local transmission, 12 days after it was taken off. The death toll has risen to 31, and autopsies …
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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.012 |
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".