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Record W1539053981 · doi:10.1017/cbo9780511921001.049

Agenesis of the corpus callosum

2011· book-chapter· en· W1539053981 on OpenAlexaff
Dorothy M. Jones, Yolanda Lau, Elliott H. Sherr

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsPeroxisomal disorderMethylmalonic aciduriaZellweger syndromeInborn error of metabolismPhytanic acidMethylmalonic acidemiaInternal medicineEndocrinologyBiotinidase deficiencyMedicineMaple syrup urine diseaseHyperammonemiaPeroxisomeCobalaminVitamin B12ChemistryBiochemistryNewborn screeningAmino acidLeucine

Abstract

fetched live from OpenAlex

Inherited disorders of amino acid, organic acid, and peroxisomal metabolism are individually rare but have a high cumulative frequency. The peroxisomal disorders are subdivided into two groups: the peroxisome biogenesis disorders and the single peroxisome enzyme deficiencies. Impaired mitochondrial glutamate transport has been reported in an autosomal recessive neonatal myoclonic epilepsy. Epileptic seizures may be the inaugural or the main symptom in rare inborn errors of intermediary metabolism. Biochemical analyses in Zellweger spectrum disorders show elevated plasma very long chain fatty acids (VLCFA) and usually deficient erythrocyte membrane plasmalogens. Metabolic acidosis with ketosis is suggestive of organic acidurias such as methylmalonic aciduria, propionic aciduria, and isovaleric acidemia, and may indicate a large number of rarer and less known organic acidurias. Therapy with biotin in biotinidase deficiency and with vitamin B6 in vitamin B6-dependency represent two of the most successful therapies for inborn errors of metabolism.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.023
GPT teacher head0.189
Teacher spread0.166 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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