MétaCan
Menu
Back to cohort
Record W2520496303 · doi:10.1002/jcu.22390

Cysts of the canal of Nuck: A rare sonographic diagnosis

2016· article· en· W2520496303 on OpenAlexaff
Ingrid Lai, Andrea Page, Fereshteh Hamidinia, Rose Rahmani

Bibliographic record

VenueJournal of Clinical Ultrasound · 2016
Typearticle
Languageen
FieldMedicine
TopicHernia repair and management
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Fundersnot available
KeywordsMedicineRound LigamentInguinal canalUltrasoundGroinUltrasonographyRadiologyAdductor canalAnatomySurgeryUterusInguinal herniaHernia

Abstract

fetched live from OpenAlex

The canal of Nuck is a remnant of a peritoneal evagination associated with the round ligament in women. Rarely, the canal of Nuck can remain patent allowing for development of cysts. These cysts are difficult to diagnose due to their rare incidence and because they are often mistaken for other causes of inguinal pain in women. This case series of three women presenting with groin or labial masses highlights the role of sonography as the primary imaging modality in the diagnosis of canal of Nuck cysts. © 2016 Wiley Periodicals, Inc. J Clin Ultrasound 45:175-178, 2017.

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)0.009
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 score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0020.003
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.045
GPT teacher head0.368
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

Citations14
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Clinical UltrasoundSame topicHernia repair and managementFrench-language works237,207