A Case of an 11-year-old With Cough, Diarrhea, and Findings of Concern in His Lungs and Spleen
Bibliographic record
Abstract
This is the case of a previously healthy, 11-year-old male of Indian descent who presented to the emergency department with a 2-month history of nausea, vomiting, diarrhea, fatigue, cough, and 7-lb weight loss. Acutely, he developed 5 days of fever as high as 39.4°C. He had a remote travel history to the Middle East. On physical examination, he was febrile and tachycardic, was thin but otherwise had a normal examination. His inflammatory markers were elevated: erythrocyte sedimentation rate was 93 mm/hour and his C-reactive protein was 25.4 mg/L. A complete blood count revealed a white blood cell count of 17,000 × 10(3)/µL with increased bands. His hemoglobin level was 8.8 g/dL with a mean corpuscular volume of 81 fl. Platelets were 556 × 10(3)/µL. A chest radiograph was concerning for a cavitary lung lesion and an abdominal ultrasound revealed multiple hypoechoic lesions in his spleen. Our panel of experts reviews his case and examines the workup of this patient with diverse symptoms and focal findings on chest radiograph and abdominal ultrasound.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".