A case of immunotherapy-responsive eastern equine encephalitis with diffusion-weighted imaging
Bibliographic record
Abstract
Eastern equine encephalitis (EEE) is the most severe of the mosquito-borne encephalitides, associated with 30% mortality. Age over 40, rapid progression to coma, severe hyponatremia, and CSF white blood cell count >500 at symptom onset have all been correlated with poor outcome.1,2⇓ We report a patient with poor prognostic signs in whom apparent diffusion coefficient (ADC) images revealed vasogenic edema without ischemia. He made a complete recovery after treatment with steroids and IV immunoglobulin (IVIg). A 69-year-old man from southeastern Massachusetts developed a frontal headache, fever, and mild right upper extremity weakness precipitating admission to a local hospital. The following day, he developed fever to 104 °F, rapidly progressive flaccid paraparesis, and acute respiratory failure. A CT brain scan without contrast was normal. A lumbar puncture revealed 1196 white blood cells (WBC) (80% neutrophils, 2% lymphocytes), 12 red blood cells/cubic millimeter, total protein 140 mg/dL, and glucose 74 mg/dL (serum glucose of 121 mg/dL) without organisms on Gram stain or detection of cryptococcal antigen. Serum chemistries were normal except …
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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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".