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Record W4210812873 · doi:10.3410/f.12796960.14073058

Faculty Opinions recommendation of Screening of OPTN in French familial amyotrophic lateral sclerosis.

2011· dataset· en· W4210812873 on OpenAlexaff
Guy A. Rouleau

Bibliographic record

VenueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2011
Typedataset
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsMontreal Neurological Institute and Hospital
Fundersnot available
KeywordsOptineurinAmyotrophic lateral sclerosisGeneticsNonsense mutationHeterozygote advantageMissense mutationExonCoding regionCompound heterozygosityMutationGeneBiologyMedicineAlleleDiseasePathology

Abstract

fetched live from OpenAlex

Mutations in OPTN gene encoding optineurin have recently been identified at the homozygote and heterozygote state in Japanese families with slowly progressive amyotrophic lateral sclerosis (ALS). OPTN had previously been involved in adult primary open angle glaucoma (POAG). We sequenced the coding exons of OPTN in 126 French patients with familial ALS (FALS). We identified, at the heterozygote state, the nonsense c.382_383insAG variant (also called 691_692insAG), alternatively reported as a causative mutation for primary open angle glaucoma (POAG) or a rare polymorphism and the new p.Arg96Leu variant in a family with dominant ALS. Western blot experiments on the patients' lymphoblasts showed that the former variant led to a loss of function and the latter did not cause protein accumulation. Our results do not confirm the contribution of OPTN in ALS.Copyright © 2011 Elsevier Inc. All rights reserved. PMID: 21220178

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)0.001
metaresearch head score (Gemma)0.011
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: Dataset · Consensus signal: Dataset
Teacher disagreement score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0430.021

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 head0.080
GPT teacher head0.366
Teacher spread0.286 · 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
GenreDataset

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

Citations0
Published2011
Admission routes1
Has abstractyes

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Same venueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature→Same topicAmyotrophic Lateral Sclerosis Research→French-language works237,207→