Respiratory distress and the flu: What should a physician know?
Bibliographic record
Abstract
A five-year-old girl, with known thalassemia, presented in September 2009 with a history of 36 h of fever, runny nose, sore throat, lack of appetite and cough. She had vomited a few times and had watery bowel movements. Because of increasing cough, shortness of breath and lethargy, she was brought to the emergency department by her parents, who were also not feeling well. On arrival, her temperature was 39.5°C and her respiratory rate was 60 breaths/min. She looked pale and her oxygen saturation was 90% in room air. On auscultation, crackles were heard and her chest radiograph confirmed pneumonia in the right middle and right lower lobes. In view of her acute respiratory presentation, she was immediately isolated with contact and droplet precautions. Blood culture was drawn and a nasopharyngeal aspirate was sent for respiratory viruses. She was started empirically on an intravenous antibiotic and oseltamivir (45 mg orally twice daily), while awaiting laboratory confirmation of the diagnosis. She rapidly deteriorated with desaturation on a fraction of inspired oxygen of 100%, and was transferred to a paediatric intensive care unit (PICU) where she was intubated and required mechanical ventilation. Later that day, a reverse transcription polymerase chain reaction for pandemic influenza A (H1N1) was reported as positive.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.007 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".