Neuroinvasive West Nile Virus Presenting as Acute Flaccid Paralysis: A Case Report
Bibliographic record
Abstract
West Nile virus, a mosquito-borne infection, is known to cause a wide spectrum of clinical manifestations ranging from asymptomatic infection to neuroinvasive disease. Advanced age is a known risk factor for developing neuroinvasive disease and also a prognostic indicator of long-term recovery. We present a case of neuroinvasive West Nile virus infection in a 78-year-old man who presented with acute flaccid paralysis and altered mental status. Positive IgM for West Nile virus in the cerebrospinal fluid confirmed the diagnosis. Individuals presenting with meningitis, encephalitis, and/or acute flaccid paralysis should be assessed for West Nile virus especially if presenting during outbreaks in the summer and fall months. Although treatment remains supportive, prompt diagnosis and reporting of the infection can identify potential outbreaks, emphasize the importance of preventative measures, and promote clinician awareness. J Med Cases. 2019;10(1):21-23 doi: https://doi.org/10.14740/jmc3212
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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) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.008 | 0.005 |
| 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".