P.024 An atypical presentation of neurocysticercosis: a Manitoban case
Bibliographic record
Abstract
Background: Neurocysticercosis is the world’s leading cause of epilepsy and the most common helminthic disease affecting the human nervous system. It is relatively rarely seen in developed nations, and usually presents clinically with seizures. Methods: This case report was prepared using the patient’s hospital chart, and a review of the literature was undertaken using PubMed. This case was subsequently compared and contrasted to the known neurocysticercosis literature. Results: This is the case of an otherwise healthy 38 year old Nepalese female who presented with a history of headaches. Nonspecific in nature, they had worsened in the past couple of weeks, thus prompting appropriate imaging of the head. A large 4 cm ring enhancing lesion with edema and mass effect was discovered in the right anterior temporal lobe. No other neurological findings were found on exam. Pathological analysis confirmed a larval scolex of T. solium. Conclusions: Aside from being an unusual pathology to be seen in Manitoba, this case is unique in both its clinical and radiographic presentations. There were no seizures noted on presentation, and a significant amount of mass effect was seen around a large lesion, all unusual features for neurocysticercosis.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".