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Gene defects in progressive myoclonus epilepsy

2010· article· en· W2072698482 on OpenAlexaff
José M. Serratosa, Berge A. Minassian, Subramaniam Ganesh

Bibliographic record

VenueEpilepsia · 2010
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsLafora diseaseProgressive myoclonus epilepsyEpilepsyMyoclonusNeuroscienceNational libraryGeneAtrophyGeneticsBiologyMedicineBioinformaticsLibrary science

Abstract

fetched live from OpenAlex

Summary Lafora disease ( EPM2A and EPM2B genes); myoclonus epilepsy with ragged red fibers; or MERRF (mtDNA tRNA genes), and Dentatorubral‐pallidoluysian atrophy or DRPLA ( ATN1 gene) are three severe forms of progressive myoclonus epilepsy. The corresponding gene defects have been identified and molecular diagnosis is now widely available. Recent advances in genetics and molecular biology offer promising venues toward the development of new therapies. For an expanded treatment of this topic see Jasper’s Basic Mechanisms of the Epilepsies, Fourth Edition (Noebels JL, Avoli M, Rogawski MA, Olsen RW, Delgado‐Escueta AV, eds) published by Oxford University Press (available on the National Library of Medicine Bookshelf [NCBI] at http://www.ncbi.nlm.nih.gov/books ).

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.220
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.009
GPT teacher head0.269
Teacher spread0.260 · 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 teacher head, not a consensus.

Study designObservational
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

Citations1
Published2010
Admission routes1
Has abstractyes

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