Bibliographic record
Abstract
Severe Acute Respiratory Syndrome (SARS) was acknowledged as a new entity in mid-February 2003. A flu-like illnesses followed by atypical pneumonia and high case fatality rate have been its characteristics. The World Health Organization (WHO) was required to issue a Global alert and an emergency travel advisory (ETA) on 15th March 2003. Since then, more than 456 cases, with 17 deaths, have been reported from 13 countries on three continents. Latest release from Hong Kong press informs that four more have fallen to SARS. Active transmission is ongoing in China Guangdong Province, Taiwan Province and Hong Kong as well as Singapore, Vietnam & Canada. In addition, a link is suspected with an earlier outbreak of an unidentified disease in mainland China with 305 cases and 5 deaths. Singapore ordered about 740 people who may have been exposed to a mysterious flu-like illness to stay home for 10 days in efforts to contain the disease. Thus there appears to be sufficient cause for concern. Even the Director General of WHO, Dr. Gro Harlem Brundtland, has stated that “This syndrome is now a world-wide health threat” and “the world needs to work together to find its cause, cure the sick, and stop its spread”.
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 | 0.012 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.016 | 0.024 |
| Insufficient payload (model declined to judge) | 0.010 | 0.020 |
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".