Bibliographic record
Abstract
As of 2 April 2003, 2223 cases of Severe Acute Respiratory Syndrome (SARS) and 78 deaths have been reported to the World Health Organization (WHO), a case fatality rate of 3.5% (http://www.who.int/csr/sarscountry/2003_04_02/en/). This is an increase of four to fivefold in the global totals in the last seven days (http://www.who.int/csr/sarscountry/2003_03_25/en/) with the greatest proportionate and absolute increases being in China (Hong Kong and Guangdong Province), and to a much lesser extent in Canada. There has been little absolute rise in other country totals. Eighteen countries have now reported cases but in most of these no transmission seems to have occurred. Local transmission has occurred in Hanoi (Vietnam), Singapore, Toronto (Canada), Taiwan, and the following parts of China: Guangdong Province; Beijing; Shanxi; and the special administrative region of Hong Kong. In the United Kingdom three probable SARS cases have been reported; all have now recovered. Indeed, the only areas where WHO feels there is evidence consistent with current transmission are Hong Kong and Guangdong (http://www.who.int/csr/sarsarchive/2003_02_02b/en/), and the WHO has issued advice to international travellers not to travel to or through either area.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".