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Record W3008844400 · doi:10.1038/s41436-019-0506-1

Correction: Mitochondrial oxodicarboxylate carrier deficiency is associated with mitochondrial DNA depletion and spinal muscular atrophy–like disease

2019· erratum· en· W3008844400 on OpenAlexaff
Veronika Boczonadi, Martin King, A.C. Smith, Monika Oláhová, Boglárka Bánsági, Andreas Roos, Filmon Eyassu, Christoph H. Borchers, Venkateswaran Ramesh, Hanns Lochmüller, Tuomo Polvikoski, Roger G. Whittaker, Angela Pyle, Helen Griffin, R.W. Taylor, Patrick F. Chinnery, Andrea Robinson, Edmund R.S. Kunji, Rita Horváth

Bibliographic record

VenueGenetics in Medicine · 2019
Typeerratum
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism and Genetic Disorders
Canadian institutionsGenome British ColumbiaUniversity of Victoria
FundersMedical Research CouncilWellcome Trust
KeywordsSpinal muscular atrophyLicenseMitochondrial DNAMitochondrial diseaseAtrophyMedicineDiseaseBioinformaticsGeneticsPathologyBiologyComputer scienceGene

Abstract

fetched live from OpenAlex

The original article can be found online at https://doi.org/10.1038/gim.2017.251. Correction to: Genetics in Medicine20:1224–1235; https://doi.org/10.1038/gim.2017.251; Article published online 08 March 2018 This Article was originally published under Nature Research’s License to Publish, but has now been made available under a [CC BY 4.0] license. The PDF and HTML versions of the Article have been modified accordingly. Mitochondrial oxodicarboxylate carrier deficiency is associated with mitochondrial DNA depletion and spinal muscular atrophy–like diseaseGenetics in MedicineVol. 20Issue 10PreviewTo understand the role of the mitochondrial oxodicarboxylate carrier (SLC25A21) in the development of spinal muscular atrophy-like disease. Full-Text PDF Open Access

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)0.002
metaresearch head score (Gemma)0.026
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.054
Threshold uncertainty score0.182

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0070.009
Insufficient payload (model declined to judge)0.0540.023

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 head0.007
GPT teacher head0.241
Teacher spread0.233 · 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
Published2019
Admission routes1
Has abstractyes

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