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Record W2774871433 · doi:10.5489/cuaj.5094

Canadian Urological Association/Pediatric Urologists of Canada guidelines on the investigation and management of antenatally detected hydronephrosis

2017· article· en· W2774871433 on OpenAlexaffvenueabout
John-Paul Capolicchio, Luis H. Braga, Konrad M. Szymanski

Bibliographic record

VenueCanadian Urological Association Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsMcMaster Children's HospitalMcGill University Health CentreMcMaster UniversityMontreal Children's Hospital
Fundersnot available
KeywordsHydronephrosisMedicinePediatric urologyGeneral surgeryAssociation (psychology)Internal medicinePsychologyUrinary system

Abstract

fetched live from OpenAlex

Prior to the advent of maternal ultrasonography in the 1980s, children with significant congenital hydronephrosis requiring surgery presented symptomatically with abdominal pain, urinary infection, hypertension, hematuria, or failure to thrive. Antenatal hydronephrosis (AHN) became one of the most commonly detected ultrasound (US) findings, affecting 1–5% of pregnancies.1 The majority of AHN in the third trimester is discovered due to US for maternal indications. The benefits of this early detection of urinary tract dilation include a reduction in the renal damage due to obstruction and infection.2,3 On the other hand, many of these antenatally detected cases spontaneously resolve with observation and consequently can be submitted to unnecessary investigations and continued medical followup.4 The challenge to this day remains to predict which of these prenatally detected infants will require corrective surgery, prior to the development of symptoms or potentially irreversible renal damage, thus permitting a more tailored screening.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.332
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.237
Teacher spread0.213 · 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

Citations56
Published2017
Admission routes3
Has abstractyes

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