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Disorders of cobalamin and folate metabolism

2011· book-chapter· en· W188760278 on OpenAlexaff
Michael Shevell, David Watkins, David S. Rosenblatt

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsMyoclonusMedicineDementiaMovement disordersClonazepamPsychologyInternal medicineNeurosciencePsychiatryDisease

Abstract

fetched live from OpenAlex

The progressive myoclonus epilepsies (PMEs) are a rare group of disorders with varied causes manifested by myoclonus, often activated by movement or action, but also occurring at rest. The form of PME is particularly striking in many family members affected by autosomal dominant Alzheimer disease linked to chromosome 14. The presenting features are cognitive decline with prominent seizures and myoclonus. Myoclonus is frequently described as an early feature of patients with amyloid precursor (16) protein gene mutation pedigrees who have limb dyspraxia, brisk reflexes, visual disorientation, and slow gait. Toxic causes of myoclonus include the sialysis syndrome characterized by myoclonus, asterixis, speech disorder, seizures, personality changes, and progressive dementia. The use of serotonin reuptake inhibitors commonly used as antidepressants may lead to severe myoclonus described with the use of citalopram and risperidone. Cephalosporin toxicity, levetiracetam accumulation in renal failure, amlodipine and nifedipine can induce acute myoclonic jerking without convulsive seizures.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.005

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 head0.025
GPT teacher head0.221
Teacher spread0.196 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations10
Published2011
Admission routes1
Has abstractyes

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