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Record W1776515886 · doi:10.5698/1535-7511-14.s2.23

Neurocysticercosis and Epilepsy

2014· article· en· W1776515886 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEpiliepsy currents/Epilepsy currents · 2014
Typearticle
Languageen
FieldMedicine
TopicParasitic infections in humans and animals
Canadian institutionsWestern University
FundersNational Institutes of Health
KeywordsNeurocysticercosisMedicineEpilepsyPediatricsPsychiatry

Abstract

fetched live from OpenAlex

. 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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.258
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.021
GPT teacher head0.303
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it