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Record W3159291854 · doi:10.4103/0028-3886.314579

Clinical and Mutation Spectra of Cockayne Syndrome in India

2021· article· en· W3159291854 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNeurology India · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsWestern University
Fundersnot available
KeywordsCockayne syndromeMedicineProbandMedical geneticsGeneticsMutationPediatricsDermatologyBiologyNucleotide excision repairDNA repairGene

Abstract

fetched live from OpenAlex

BACKGROUND: Cockayne syndrome is an autosomal recessive disorder caused by biallelic mutations in ERCC6 or ERCC8 genes. AIMS: To study the clinical and mutation spectrum of Cockayne syndrome. SETTING AND DESIGN: Medical Genetics Outpatient Department of Sanjay Gandhi Post Graduate Institute of Medical Sciences, Lucknow. This was a prospective study from 2007 to 2015. MATERIALS AND METHODS: Clinical details were recorded, and sequencing of ERCC6 and ERCC8 were performed. RESULTS AND CONCLUSIONS: Of the six families, one family had a homozygous mutation in ERCC8 and the other five families had homozygous mutations in ERCC6. Novel variants in ERCC6 were identified in four families. Phenotypic features may vary from severe to mild, and a strong clinical suspicion is needed for diagnosis during infancy or early childhood. Hence, molecular diagnosis is needed for confirmation of diagnosis in a child with a suspicion of Cockayne syndrome. Prenatal diagnosis can be provided only if molecular diagnosis is established in the proband.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.369

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.267
Teacher spread0.258 · 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