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Record W2920870212 · doi:10.1093/pch/pxz005

Newborn with bilateral congenital cataracts: Never forget congenital rubella syndrome

2019· article· en· W2920870212 on OpenAlexaff
Inara Chacon Fonseca, Jacqueline Wong, Kamiar Mireskandari, David Chitayat

Bibliographic record

VenuePaediatrics & Child Health · 2019
Typearticle
Languageen
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsMount Sinai HospitalNorth York General HospitalSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsEtiologyMedicineCataractsCongenital rubella syndromeRubellaPediatricsImmunologyPathologyOphthalmologyMeasles

Abstract

fetched live from OpenAlex

A term, growth-restricted newborn presented with a sepsis-like picture, persistent pulmonary hypertension and bilateral cataracts. Initial review of prenatal and family history, as well as microbiological investigations were noncontributory. Following lenticular extraction, viral examination of the lenses confirmed the presence of rubella. Congenital rubella syndrome (CRS) presents with a constellation of signs and symptoms that overlap with many other conditions. The presence of bilateral cataracts in a newborn is a rare finding and this case is used to review the broad etiology of congenital cataracts. We propose a structured diagnostic approach for clinicians, remembering that CRS is a rare but possible etiology. The early diagnosis of CRS in this case, allowed us to initiate appropriate management and preventive measurements.

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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.248
Teacher spread0.240 · 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

Citations5
Published2019
Admission routes1
Has abstractyes

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