MétaCan
Menu
← Back to cohort
Record W4250275723 · doi:10.14740/jmc2867w

Ultrasonographic Findings of Uterine Artery Pseudoaneurysm

2017· article· en· W4250275723 on OpenAlexvenueno aff
Sayuri Kondo, Shunji Suzuki

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicMaternal and fetal healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePseudoaneurysmUterine arteryHysterectomyUterine cavityBlood flowSurgeryGestationBlood transfusionUterusColor dopplerUltrasonographyRadiologyAneurysmPregnancyInternal medicine

Abstract

fetched live from OpenAlex

A 30-year-old woman, gravid 1, para 1 underwent an emergency cesarean section (CS) at 40 weeks of gestation because of intrauterine infection. Seven hours after CS, sudden massive vaginal bleeding of 1,500 mL occurred. Transvaginal ultrasonography with color Doppler revealed the presence of low density cyst with a diameter of 4 cm with spiral pulsating blood flow in the cavity of the cyst in the vicinity of the ascending branches of the left uterine artery. We diagnosed it as uterine artery pseudoaneurysm, and total hysterectomy was performed because of unstable vital signs under transfusion. J Med Cases. 2017;8(8):241-242 doi: https://doi.org/10.14740/jmc2867w

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)0.002
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.048
GPT teacher head0.371
Teacher spread0.323 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Medical Cases→Same topicMaternal and fetal healthcare→French-language works237,207→