Travel associated probable case of SARS, Finland, with commentary from Health Canada
Bibliographic record
Abstract
A 24 year old, previously healthy Finnish man travelled to Toronto from 24-28 April 2003 to attend a large conference. After returning to Finland, he became ill with a high fever (40 °C) and mild cough on 30 April. The patient was admitted to Turku University Central Hospital and placed in isolation as a suspect case of severe acute respiratory syndrome (SARS). On admission, his chest radiograph was normal. On 2 May, a perihilar infiltrate was observed in his chest radiograph. A diagnosis of community acquired pneumonia was made and the case was reclassified as probable SARS. Fever lasted for five days and the patient did not require supplemental oxygen or mechanical ventilation. From 2-13 May, the patient received oral levofloxacin, which appeared not to influence the clinical course or laboratory parameters. There was no lymphopenia and the lactate dehydrogenase was normal. Nasopharyngeal samples for respiratory antigen detection (influenza A and B, adenovirus, parainfluenza 1,2,3 and respiratory syncytial virus) were negative. Chlamydia pneumoniae and Mycoplasma pneumoniae antibody testing did not indicate acute infection. Blood cultures were negative. No aetiology for the pneumonia was identified.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".