Neurosarcoidosis-Induced Multiple Cerebral Microinfarcts
Bibliographic record
Abstract
A 58-year-old man with a history of coronary heart disease, ischemic cardiomyopathy, hypertension, and dyslipidemia presented with fatigue, left-sided headache, and mild confusion for 1 month.He was treated for presumed HSV encephalitis and improved after 3 weeks of acyclovir.Two days following discharge, he returned with new onset ataxia and multiple falls.He was continued on acyclovir, and broad-spectrum coverage via vancomycin and ceftriaxone was initiated for suspected bacterial meningitis, given his unusual presentation.Despite these medications, his cognitive symptoms, namely confusion, short-term memory impairment, and disorientation in time, space, and person, progressively worsened.He developed paranoid behaviors and visual hallucinations.Cerebrospinal fluid examination revealed elevated protein (57.13 g/L), leukocytes (66 × 10 6 /L), and glucose (5.2 mmol/L) with oligoclonal bands but was negative for malignant cells, HSV-1, HSV-2, VZV, enterovirus, fungi, cryptococcal antigen, acid-fast bacillus, and other bacteria.Electroencephalogram showed no seizure activity.Initial contrast-enhanced MRI head demonstrated nodular leptomeningeal enhancement of the right temporal convexity sulci (Figure 1A, arrows), nonspecific FLAIR signal abnormality Figure 1: MRI and right temporal biopsy pathology images.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".