MétaCan
Menu
Back to cohort
Record W2910296751 · doi:10.1042/bst20180423

Hereditary diseases of coenzyme A thioester metabolism

2019· review· en· W2910296751 on OpenAlexafffund
Hao Yang, Chen Zhao, Youlin Wang, Shu Pei Wang, Grant A. Mitchell

Bibliographic record

VenueBiochemical Society Transactions · 2019
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersCanadian Institutes of Health Research
KeywordsMetabolismCoenzyme AThioesterBiochemistryChemistryCofactorBiologyEnzyme

Abstract

fetched live from OpenAlex

Coenzyme A (CoA) thioesters (acyl-CoAs) are essential intermediates of metabolism. Inborn errors of acyl-CoA metabolism include a large fraction of the classical organic acidemias. These conditions can involve liver, muscle, heart and brain, and can be fatal. These conditions are increasingly detected by newborn screening. There is a renewed interest in CoA metabolism and in developing effective new treatments. Here, we review theories of the pathophysiology in relation to mitochondrial CoA sequestration, toxicity and redistribution (CASTOR).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.748
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.292
Teacher spread0.270 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueBiochemical Society TransactionsSame topicMetabolism and Genetic DisordersFrench-language works237,207