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Record W2335001489 · doi:10.1212/nxg.0000000000000063

De novo <i>FUS</i> P525L mutation in Juvenile amyotrophic lateral sclerosis with dysphonia and diplopia

2016· article· en· W2335001489 on OpenAlexafffund
Claire S. Leblond, Alina Webber, Ziv Gan‐Or, Fraser Moore, Alain Dagher, Patrick A. Dion, Guy A. Rouleau

Bibliographic record

VenueNeurology Genetics · 2016
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsMontreal Neurological Institute and Hospital
FundersCanadian Institutes of Health ResearchALS Society of CanadaMcGill UniversityALS AssociationMichael J. Fox Foundation for Parkinson's Research
KeywordsAmyotrophic lateral sclerosisDiplopiaMedicineSpasticitySpasticDysarthriaDyskinesiaPhysical medicine and rehabilitationPathologyAudiologyDiseaseCerebral palsySurgery

Abstract

fetched live from OpenAlex

Juvenile amyotrophic lateral sclerosis (jALS) is characterized by progressive upper and lower motor neuron degeneration leading to facial muscle spasticity, spastic dysarthria, and spastic gait with an early onset (before 25 years old). Unlike adult-onset amyotrophic lateral sclerosis (ALS), patients with jALS tend to have slower progression of motor neuron disease and prolonged survival to a normal life expectancy. Mutations in FUS gene have been reported in jALS,1 including p.P525L mutation that has been consistently associated with early onset and aggressive presentation.2 Here, we report a patient carrying p.P525L FUS mutation and experiencing an aggressive course of ALS presenting with dysphonia and diplopia. Acknowledgment: The authors thank the patient and her family. In addition, we thank Dr. Ken Mast for his medical contributions, Sandra B. Laurent for her contributions with the maternity and paternity tests and the Sanger sequencing, and Pascale Hince and Dr. Hélène Catoire for their contributions with the preparation of the samples.

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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.251
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

Citations31
Published2016
Admission routes2
Has abstractyes

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