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Record W1972916663 · doi:10.1002/uog.1739

False diagnosis of renal agenesis on fetal MRI

2004· article· en· W1972916663 on OpenAlexaff
Michael Sgro, Vibhuti Shah, Tony Barozzino, K. Ibach, Lisa Allen, David Chitayat

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2004
Typearticle
Languageen
FieldMedicine
TopicFetal and Pediatric Neurological Disorders
Canadian institutionsMount Sinai HospitalUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineRenal agenesisFetusRadiologyAgenesisObstetricsPregnancyAnatomyKidneyInternal medicine

Abstract

fetched live from OpenAlex

We report a twin pregnancy in which prenatal ultrasound revealed anhydramnios and bilateral absence of the kidneys in both fetuses. To overcome the difficulties faced in obtaining accurate information on fetal ultrasound in cases with oligohydramnios, an attempt was made to use fetal magnetic resonance imaging (MRI) to confirm the renal status. However, while the fetal MRI showed renal agenesis in both twins, postnatal follow-up revealed that one twin, which survived, had a small unilateral kidney not seen antenatally on fetal ultrasound or MRI. The second twin had bilateral renal agenesis and died of pulmonary hypoplasia. Care should be taken when using fetal MRI to replace fetal ultrasound in cases with poor visibility.

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)0.017
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 score0.122
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.246
Teacher spread0.231 · 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

Citations10
Published2004
Admission routes1
Has abstractyes

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