Bibliographic record
Abstract
. NCC is the most common parasitic disease of the nervous system. It accounts for about 50,000 deaths per year and many times this number of people with active epilepsy (1, 2). The disease is endemic in Central and South America, sub-Saharan Africa, and in some regions of the Far East, including the Indian subcontinent, Indonesia, and China. It is rare in Europe, in North America (with the exception of the southwest United States), Australia, Japan, and New Zealand, except among immigrants. It is non-existent in Israel and the Muslim countries of Africa and Asia (Figure 1) (1, 3). With increased travel to disease-endemic areas and the migration of tapeworm carriers or people infected with the disease, NCC is becoming increasingly prevalent in industrialized countries, particularly the United States (4). In a recent systematic review, the frequency of NCC in people with epilepsy was found to have a large variability. The authors selected a total 565 articles from PubMed and 23 international databases, from January 1, 1990, to June 1, 2008 (5). The pooled estimate for this population was found to be 29% (95% confidence interval [CI]: 22.9–35.5%).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".