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Record W2099394018 · doi:10.7863/jum.2012.31.4.645

Sonographic and Magnetic Resonance Imaging Findings in Uterine Incarceration

2012· article· en· W2099394018 on OpenAlexaff
Dellano D. Fernandes, Cheryl A. Sadow, Katherine E. Economy, Carol B. Benson

Bibliographic record

VenueJournal of Ultrasound in Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsRoyal Inland Hospital
Fundersnot available
KeywordsMedicineMagnetic resonance imagingRadiologyUterusCervixInternal medicine

Abstract

fetched live from OpenAlex

We show the sonographic and magnetic resonance imaging features of uterine incarceration. Clinical data and imaging findings were retrospectively reviewed for 8 confirmed cases identified by sonography from 2000 to 2010. Two patients had magnetic resonance imaging. Seven of 8 patients (87.5%) presented with abdominal pain; 4 of 8 (50.0%) also had urinary symptoms. All had a retroverted uterus with an elongated anterosuperiorly displaced or poorly visualized cervix on sonography. Magnetic resonance imaging showed similar features, but in both cases, the placental position was misinterpreted because of severe uterine retroversion. Radiologists should be aware of this condition and its imaging features to reduce associated morbidity and mortality.

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)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.290
Teacher spread0.279 · 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 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

Citations30
Published2012
Admission routes1
Has abstractyes

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