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Record W1981101717 · doi:10.1002/uog.1758

The role of color and power Doppler ultrasound in the prenatal diagnosis of sirenomelia

2004· article· en· W1981101717 on OpenAlexaff
Sunny Patel, Ian Suchet

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2004
Typearticle
Languageen
FieldMedicine
TopicCongenital gastrointestinal and neural anomalies
Canadian institutionsRegina General HospitalUniversity of Saskatchewan
Fundersnot available
KeywordsOligohydramniosMedicineRenal agenesisSingle umbilical arteryPrenatal diagnosisFetusAbnormalityAgenesisPrenatal ultrasoundAnal atresiaAnatomyRenal arteryAtresiaObstetricsPregnancyKidneyInternal medicine

Abstract

fetched live from OpenAlex

Sirenomelia is a rare congenital abnormality characterized by a variety of anomalies involving the lower limbs, severe oligohydramnios, bilateral renal agenesis, anorectal atresia and aberrant fetal vasculature. The prenatal diagnosis and differentiation from isolated bilateral renal agenesis is severely limited by the accompanying oligohydramnios that hinders visualization of fetal anatomy. We present three prospectively assessed cases of sirenomelia, two of which had bilateral renal agenesis, and all of which had a single umbilical artery derived from the aberrant vasculature that accompanies the 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 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)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.014
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 head0.008
GPT teacher head0.224
Teacher spread0.216 · 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.

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

Citations49
Published2004
Admission routes1
Has abstractyes

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