MétaCan
Menu
Back to cohort
Record W4327593538 · doi:10.7759/cureus.36225

Goldenhar Syndrome: An Atypical Presentation With Developmental and Speech Delay

2023· article· en· W4327593538 on OpenAlexaff
Srilakshmi K Jayaprakasan, Muhammad Daniyal Waheed, Saima Batool, Jorge Pimentel Campillo, Maymona E Nageye, Shaniah S Holder

Bibliographic record

VenueCureus · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCraniofacial Disorders and Treatments
Canadian institutionsCanadian Paediatric Society
Fundersnot available
KeywordsGoldenhar syndromeMedicineMicrotiaCraniofacialFacial symmetryPresentation (obstetrics)Craniofacial abnormalityGlobal developmental delayHearing lossAudiologySurgery

Abstract

fetched live from OpenAlex

Goldenhar syndrome is a rare congenital disorder that affects the development of the craniofacial region, spine, and ears. It is characterized by a wide range of symptoms that can vary in severity and may include facial asymmetry, microtia or anotia, cleft lip or palate, vertebral anomalies, and eye abnormalities. Although the cause of Goldenhar syndrome is not fully understood, it is thought to be related to disruptions in the early embryonic development of the affected tissues. The diagnosis is typically made based on physical examination and imaging studies, and management may involve a multidisciplinary team of healthcare professionals, including geneticists, audiologists, and plastic surgeons. Treatment options depend on the specific symptoms and may include surgery, hearing aids, and speech therapy. While Goldenhar syndrome can have significant physical and functional implications for affected individuals, early detection and appropriate management can help improve outcomes and quality of life.

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)0.000
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 score0.276
Threshold uncertainty score0.261

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 head0.012
GPT teacher head0.263
Teacher spread0.251 · 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 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

Citations14
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCureusSame topicCraniofacial Disorders and TreatmentsFrench-language works237,207