Bibliographic record
Abstract
Introduction The first diagnosis of severe acute respiratory syndrome (SARS) in North America was made in Toronto on 13 March 2003. This was the first recognized case of the disease outside of Asia. By 2 June, 198 cases of probable SARS were reported in Canada, 30 (15%) of whom had died. In the US at the same time 66 cases of probable SARS had been reported, none of whom had died. The first patient with SARS in North America was a 78-year-old woman who returned home to Toronto on 23 February 2003 after a visit to relatives in Hong Kong. Two days later she developed fever, myalgia, sore throat and mild non-productive cough. Five days later she developed increasing cough and dyspnoea. She died 3 days later, on 5 March, at home, 9 days after the onset of her illness. The diagnosis of SARS was only made in retrospect. The index patient's 43-year-old son developed fever and sweating on 27 February, 2 days after his mother first noted the symptoms. He subsequently developed non-productive cough, chest pain, and dyspnoea and eventually high fever (temperature, 39.8°C). A chest radiograph revealed bilateral lower lobe consolidation. He was admitted to the hospital with a diagnosis of community-acquired pneumonia. On the 2nd day after admission, he developed respiratory failure, was intubated and received mechanical ventilation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".