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Record W2120902817 · doi:10.1136/jmg.2003.015651

Novel lamin A/C gene (<i>LMNA</i>) mutations in atypical progeroid syndromes

2004· letter· en· W2120902817 on OpenAlexaff
Antonei B. Csòka

Bibliographic record

VenueJournal of Medical Genetics · 2004
Typeletter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsRobarts Clinical Trials
Fundersnot available
KeywordsLMNALaminGeneticsProgeriaBiologyGeneMutation

Abstract

fetched live from OpenAlex

HGPS recapitulates most of the pathologies of normal aging at an accelerated rate, with sparing of the nervous system. 3 Children with HGPS usually appear normal in early infancy, but at about six months of age begin to experience profound growth delay. 4 Scalp hair, eyebrows, and eyelashes are typically lost resulting in total alopecia. 5 A gradual, almost complete lipodystrophy begins in infancy, and the skin acquires an abnormally aged appear- ance with prominent veins. In some children osteolysis may affect the clavicles, terminal phalanges, and acetabulum, and sometimes even more severe bone deformities occur, 6

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0110.004
Insufficient payload (model declined to judge)0.0030.002

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 head0.014
GPT teacher head0.261
Teacher spread0.247 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations158
Published2004
Admission routes1
Has abstractyes

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