Fever, Seizures, and Basal Ganglia Lesions
Bibliographic record
Abstract
Case ReportWe describe the case of a previously healthy 17-year-old boy admitted to the hospital after a generalized tonicclonic seizure that followed a 3-day history of fever, malaise, and headache.At presentation, he was in no distress with a heart rate of 75 beats per minute, respiratory rate of 14 breaths per minute, temperature of 36.5 °C, oxygen saturation on room air at 99%, and blood pressure of 127/ 82 mm Hg.His Glasgow Coma Score (GCS) was 13, with disorientation to time and place.His receptive language was intact.However, he had difficulty finding words and responded with one-word answers.He had both long and short-term memory loss but no focal neurological signs.Pupils were equal and reactive to light, with normal range of eye movement and no nystagmus.Fundoscopy was normal.There was no facial asymmetry or tongue fasciculations.He had normal tone, muscle bulk, power 5/5, and reflexes 2+ in the upper and lower limbs.Sensation, gait, and coordination were intact.There were no abnormal movements or meningeal signs.Brudzinski and Kernig signs were not elicited.A complete cardiorespiratory and gastrointestinal exam was unremarkable.There was no rash, joint tenderness or swelling.Investigations at presentation showed high white blood cell count of 11.8 × 10 9 / L, neutrophils at 7.7 × 10 9 / L, lymphocytes at 2.9 × 10 9 / L, hemoglobin of 146 g/L, and platelet of 194 × 10 9 / L. Cerebrospinal fluid (CSF) cell count was elevated at 54 × 10 6 /L, protein was high at 0.64 g/L, and glucose was 2.8 mmol/L.Repeat labs revealed mild anemia on day 4 of admission (lowest hemoglobin 134 g/L, hematocrit 0.385), which resolved without interventions by day 10 of admission.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".