09.00 Saved by the skin of his teeth: a job well done!
Bibliographic record
Abstract
A 31-year-old former Game Ranger from South Africa presented with subacute onset parieto-occipital headache, photophobia, and vomiting, followed by diplopia, bradykinesia and progressive unsteadiness. There was a history of neonatal eczema, recurrent skin abscesses, osteomyelitis, tuberculosis, hepatitis A, and Rickettsia. On examination he had meningism, papilloedema, bilateral sixth nerve palsies, left lower motor neurone facial weakness and left upper limb pyramidal weakness. He was areflexic with normal sensation. Mild bilateral extrapyramidal signs, postural instability and gait initiation failure were observed. During admission, he developed acute left lumbar polyradiculopathy. Deep set eyes, coarse facial features, bony deformities, and retention of primary teeth were noted on examination. MRI showed bilateral globus pallidus necrosis, basal leptomeningeal enhancement, and multilevel lumbar root thickening and enhancement. CSF culture confirmed Cryptococcus gattii infection and an apical lung opacity seen on chest x-ray was consistent with a cryptococcoma. Twelve months of antifungal therapy was commenced with full symptom resolution. HIV was negative. Immunological tests revealed elevated IgE levels and IL-17 deficiency. A de novo mutation in the STAT3 gene (c.1241G>C; p.Arg414Thr) confirmed the diagnosis of autosomal dominant Hyperimmunoglobulin E (Job’s) syndrome. We discuss Job’s syndrome, the challenges in managing cryptococcal infection and immunological testing in non-HIV patients.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.224 | 0.092 |
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".