Bibliographic record
Abstract
A previously well 35-year-old male presented with a one month history of generalized progressive headaches, mental status changes, and behavioral changes in the form of aggression and somnolence. His initial physical examination was unremarkable apart from bilateral papilledema and delirium. Investigations, including complete blood count (CBC), urea, creatinine, electrolytes, erythrocyte sedimentation rate (ESR), liver function tests (LFT), thyroid stimulating hormone (TSH), EKG, and chest x-ray, were within normal limits. An immediate computed tomogram (CT) scan of the head showed acute hydrocephalus. A shunt was inserted, and a CSF sample was obtained. It showed an elevated cell count (WBC 26x109 cells/L, 82% lymphocytes) and elevated protein (7.05 g/L). The CSF staining for AFB was negative, as were the bacterial and viral cultures. Cytological and fungal staining was also negative. Weighted with gadolinium, T1 and FLAIR MRI sequences displayed an extensive white matter abnormality with prominent meningeal and hypothalamic enhancement (Figure 1). Tuberculosis (TB) was the main diagnostic consideration. Sarcoidosis, lymphoma and lepto-meningeal metastasis were also considered. The CSF cytology was negative on two occasions, making a neoplastic cause less likely. Tuberculosis was felt to be the most likely etiological diagnosis, as there were no systemic findings of sarcoidosis on his initial presentation.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".