Prolonged Fever After the Treatment of Ulcerative Colitis in an Adolescent
Bibliographic record
Abstract
A 17-year-old female was diagnosed with inflammatory bowel disease and started on infliximab. A few weeks after starting infliximab, she developed a recurrence of daily fevers associated with an intermittent dry cough, which worsened over the course of a month. A chest radiograph, abdominal ultrasound, and computed tomography scan of the chest and abdomen revealed a heterogeneous spleen with multiple hyperechoic areas, tiny splenic micronodules, and diffuse micronodularity throughout the lungs. She was transferred to a tertiary care hospital because of hypotension, new oxygen requirements, and ongoing fever. Her bloodwork on presentation to tertiary care revealed pancytopenia and elevated inflammatory markers; she had splenomegaly on MRI. As her clinical picture evolved, she continued to have persistent fevers and anorexia despite ongoing management. Infectious diseases, rheumatology, and gastroenterology were consulted to guide the evaluation and management of this patient's complex clinical course.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".