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Record W2395713209 · doi:10.3233/npm-16915068

Severe laryngeal stenosis in newly born twins with 22q11.2 deletion syndrome: A case report

2016· article· en· W2395713209 on OpenAlexaff
Breanna Clive, Gerard Corsten, Lynette S. Penney, Michiel Van den Hof, Walid El‐Naggar

Bibliographic record

VenueJournal of Neonatal-Perinatal Medicine · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCongenital heart defects research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsDeletion syndromeMedicineStenosisPediatricsInternal medicineGeneticsBiologyPhenotypeGene

Abstract

fetched live from OpenAlex

Chromosome 22q11.2 deletion syndrome is common and presents with a range of clinical features from cardiac malformations to hypocalcemia. Laryngeal anomalies are not a common feature of this syndrome. We describe newly born twins who presented with unexpected severe birth depression secondary to severe type IV glottic webs requiring extensive resuscitation and emergency tracheostomy. They were diagnosed postnatally to have deletion of 22q11.2. The successful resuscitation of these infants at birth was only possible because they were born in a tertiary care hospital. This report shows the critical nature of prenatal diagnosis of 22q11.2 deletion syndrome.

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)0.000
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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.279
Teacher spread0.267 · 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 designCase report
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

Citations4
Published2016
Admission routes1
Has abstractyes

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