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Record W4230205884 · doi:10.5489/cuaj.679

Vasitis: clinical and ultrasound confusion with inguinal hernia clarified by computed tomography

2013· article· en· W4230205884 on OpenAlexaffvenue
Kathleen Eddy, Bruce Piercy, Richard Eddy

Bibliographic record

VenueCanadian Urological Association Journal · 2013
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsIsland HealthUniversity of British Columbia
Fundersnot available
KeywordsEpididymitisOrchitisMedicineSpermatic cordInguinal herniaUltrasoundRadiologySpermatic Cord TorsionComputed tomographyHerniaSurgeryTesticular torsion

Abstract

fetched live from OpenAlex

Vasitis or inflammation of the vas deferens is a rarely describedcondition categorized by Chan & Schlegel1 as either generallyasymptomatic vasitis nodosa or the acutely painful infectious vasitis.Clinically, infectious vasitis presents with nonspecific symptomsof localized pain and swelling that can be confused with other,more common conditions such as epididymitis, orchitis, testiculartorsion, and inguinal hernia. Ultrasound with duplex Doppler scanningcan be used to exclude epididymitis, orchitis, and testiculartorsion. On the other hand, while inguinal hernia is difficult todifferentiate from vasitis using ultrasound, computed tomography(CT) is diagnostic. We describe 2 cases of vasitis with clinicaland ultrasound findings that initially were interpreted as inguinalhernias. In both patients, CT was diagnostic for vasitis showing anedematous spermatic cord and no hernia. Urine cultures in bothpatients were negative, but the symptoms resolved with antibiotictreatment.

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)0.007
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 score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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

Citations1
Published2013
Admission routes2
Has abstractyes

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