Bibliographic record
Abstract
Afive-year-old boy travelled with his family to Kenya to visit his grandparents. Two years before he was born, his parents had emigrated from Kenya. This was his first visit to the family’s home country where they spent time in Nairobi and also travelled ‘up-country’ to visit extended family. No pretravel advice was obtained; however, the boy’s routine immunizations were up to date. He was well during his trip, but one week after his return to Canada, he complained of headaches and abdominal pain that were associated with a body temperature of 39.5°C. Two days later, he presented to his paediatrician’s office with persistent fever. He had vomited once, but had no diarrhea. He had no upper respiratory symptoms and no evidence of rash. His mother said that he was not eating and was sleeping more than usual. On examination, he was noted to be sleepy but rousable; his examination was unremarkable, apart from a heart rate of 120 beats/min. His complete blood count revealed a white blood cell count of 7.8×10 9 /L, a hemoglobin level of 72 g/L and a platelet count of 82×10 9 /L. His liver enzymes were slightly elevated, but his renal function and glucose were normal. His malaria smear revealed 2% parasitemia with Plasmodium falciparum. He was admitted to hospital and initially treated with intravenous quinine and clindamycin, followed by oral atovaquone-proguanil, and he made a full recovery.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".