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Record W2181345801 · doi:10.15226/2376-4570/1/1/00107

Nager Syndrome Does Not Preclude Organ Donation

2014· article· en· W2181345801 on OpenAlexaff
Michele Molinari

Bibliographic record

VenueSOJ Surgery  · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineCraniofacialAnatomyHypoplasiaPalpebral fissureUpper limbBrachydactylyShort staturePediatrics

Abstract

fetched live from OpenAlex

Nager Syndrome is characterized by craniofacial and upper limb anomalies. The majority of patients are affected by sporadic disease. Yet, familial cases have been reported where patients are affected by mutations in SF3B4 gene or express 3p14 common fragile site. Aberrations in the first, second branchial arches and limb buds are responsible for the phenotypic presentations [1,2]. The diagnostic features of NS can be categorized into craniofacial, limb and skeletal anomalies that give these patients an atypical appearance. Hallmark of the facial findings are: down slanting palpebral fissures, malar and mandibular hypoplasia, high nasal bridge, micrognathia, external ear anomalies, and cleft palate. Upper limb deformities include thumb anomalies, radial defect and radioulnar synostosis and axial skeletal anomalies with short stature [3]. In addition, other features that have been less often identified in NS are internal organ anomalies associated with cardiovascular, gastrointestinal, genitourinary and central nervous systems [4]. To our knowledge, no previous reports of patients with Nager Syndrome (NS) and solid organ donation have been described in the literature.

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)0.002
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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.007
GPT teacher head0.218
Teacher spread0.211 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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