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Record W2121372687 · doi:10.1002/ajmg.a.34055

Fetal pads as a clue to the diagnosis of Pitt–Hopkins syndrome

2011· article· en· W2121372687 on OpenAlexaff
Daphné Lehalle, Charles A. Williams, Victoria Mok Siu, Jill Clayton‐Smith

Bibliographic record

VenueAmerican Journal of Medical Genetics Part A · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomic variations and chromosomal abnormalities
Canadian institutionsWestern University
Fundersnot available
KeywordsRett syndromeDifferential diagnosisMedicineFetusFeature (linguistics)PediatricsPsychologyPathologyBiologyGeneticsGenePregnancyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Pitt-Hopkins syndrome (PHS) is characterized by severe mental retardation, characteristic facial features including a wide mouth and intermittent overbreathing. It is due to abnormalities of the TCF4 gene at 18q21.1 and over 50 cases have now been reported in the literature. The clinical features overlap significantly with those of Angelman, Rett, and Mowat-Wilson syndromes. We have observed prominent fetal pads as a feature in several individuals with PHS and suggested that this is a useful clinical sign which helps to distinguish PHS from other conditions in the differential diagnosis and may guide genetic testing.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.015
GPT teacher head0.252
Teacher spread0.237 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations22
Published2011
Admission routes1
Has abstractyes

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