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Record W1976126110 · doi:10.1212/wnl.0000000000001396

Two cases of congenital myasthenic syndrome with vocal cord paralysis

2015· article· en· W1976126110 on OpenAlexaff
Rashid Alshahoumi, Lauren Brady, Jeremy Schwartzentruber, Mark A. Tarnopolsky

Bibliographic record

VenueNeurology · 2015
Typearticle
Languageen
FieldMedicine
TopicMyasthenia Gravis and Thymoma
Canadian institutionsMcGill University and Génome Québec Innovation Centre
Fundersnot available
KeywordsMedicineCongenital myasthenic syndromeCordPresentation (obstetrics)WeaknessParalysisVocal cord paralysisAnatomySurgeryInternal medicineAcetylcholine receptor

Abstract

fetched live from OpenAlex

Congenital myasthenic syndrome (CMS) typically presents within the first year of life with fluctuating and fatigable muscle weakness, often affecting ocular and bulbar muscles.1 In spite of bulbar involvement, vocal cord paralysis (VCP) is an uncommon presentation of CMS,2 and is most often seen in peripheral neuropathies such as TRPV4 mutations.3 We report 2 cases of CMS with 2 novel mutations in which VCP was a major sign.

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)0.001
metaresearch head score (Gemma)0.011
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 score0.008
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0030.004
Research integrity0.0080.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.030
GPT teacher head0.280
Teacher spread0.250 · 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

Citations29
Published2015
Admission routes1
Has abstractyes

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