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Progressive myoclonus epilepsy with polyglucosans (Lafora disease)

2004· article· en· W2021901516 on OpenAlexaff
Elayne M. Chan, Salah Omer, Mushtaq Ahmed, Leslie Bridges, Chad Bennett, Stephen W. Scherer, Berge A. Minassian

Bibliographic record

VenueNeurology · 2004
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLafora diseaseProgressive myoclonus epilepsyMyoclonusEpilepsyLocus (genetics)HaplotypeGeneticsGenetic linkageMedicineDiseaseGeneBiologyNeurosciencePathologyAllele

Abstract

fetched live from OpenAlex

Lafora disease (LD) is the most common teenage-onset progressive myoclonus epilepsy. It is caused by recessive mutations in the EPM2A or EPM2B genes. The authors describe a family with three affected members with no mutations in either gene. Linkage and haplotype analyses exclude both loci from causative involvement in this family. Therefore, a third LD locus is predicted. Its identification will be a crucial element in the understanding of the biochemical pathway underlying the generation of Lafora bodies and LD.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.008
GPT teacher head0.240
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
Domainnot available
GenreEmpirical

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".

Quick stats

Citations87
Published2004
Admission routes1
Has abstractyes

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