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Record W2057468082 · doi:10.1177/0883073811423973

Alpers Syndrome

2011· article· en· W2057468082 on OpenAlexaff
Aneal Khan, Cynthia Trevenen, Xing‐Chang Wei, Harvey B. Sarnat, Eric T. Payne, Adam Kirton

Bibliographic record

VenueJournal of Child Neurology · 2011
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsCalgary Laboratory ServicesAlberta Children's HospitalUniversity of Calgary
Fundersnot available
KeywordsNeuroimagingMitochondrial diseaseLeigh diseasePathologicalGold standard (test)MedicineDiseasePathologyEncephalopathyEpilepsyBioinformaticsMutationBiologyRadiologyGeneticsInternal medicineGeneMitochondrial DNAPsychiatry

Abstract

fetched live from OpenAlex

Mitochondrial diseases are increasingly being recognized as causes of encephalopathy and intractable epilepsy. There is no gold-standard test for diagnosing mitochondrial disease, and the current diagnosis relies on establishing a consistent pattern of evidence from clinical data, neuroimaging, tissue biopsy, and biochemical, genetic, and other investigations. Experience in the diagnosis and treatment of patients with certain forms of mitochondrial disease, such as Alpers syndrome, is largely gained from case reports or small case series. The authors describe a case of Alpers syndrome due to POLG1 mutations, including serial neuroimaging and pathological investigations, to illustrate two main points: (1) Unique characteristics evident on serial diffusion-weighted imaging can be a valuable indicator of Alpers syndrome; and (2) abnormal lipid metabolism can be present in Alpers syndrome, which may need to be considered when using a ketogenic diet.

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)0.002
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 score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.022
GPT teacher head0.242
Teacher spread0.219 · 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

Citations18
Published2011
Admission routes1
Has abstractyes

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