Bibliographic record
Abstract
A four-year-old boy presented to a secondary level centre in transfer from a small community hospital. He had been unwell for six days. His initial problem was abdominal pain, but on day 3 of his illness he developed fever and diarrhea. He had no specific respiratory complaints, but nevertheless, a chest x-ray (CXR) was performed and was normal. His symptoms persisted and he began developing respiratory distress. One day before transfer, he was admitted to the community hospital with a diagnosis of pneumonia confirmed on CXR and was started on intravenous cefuroxime. No blood culture was performed. He continued to have fever and required oxygen to maintain oxygen saturation above acceptable levels. Furthermore, he experienced significant hypotension (70/50 mmHg), which was treated with normal saline boluses. On initial evaluation, he had a temperature of 38.7°C, a heart rate of 150 beats/min, a respiratory rate of 60 breaths/min, a blood pressure of 100/60 mmHg and an oxygen saturation of 97% in 1 L of oxygen by nasal prongs. He looked unwell and was in moderate to severe respiratory distress. He had bilateral nonpurulent conjunctivitis, and some tender anterior and posterior auricular nodes. There was pain and decreased air entry over the right chest. He also had a diffuse maculopapular rash and red, swollen lips and hands.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.005 |
| 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".