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Record W4303644748 · doi:10.1016/j.eucr.2022.102252

Spontaneous, atraumatic hydrocele rupture: A case report

2022· article· en· W4303644748 on OpenAlexaff
Kaveh Masoumi-Ravandi, Liam Power, Sandra Kim, Stewart Whalen, Thomas E. Skinner

Bibliographic record

VenueUrology Case Reports · 2022
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineHydroceleSurgery

Abstract

fetched live from OpenAlex

There is little information in the literature on the management and prognosis of ruptured hydroceles. We present a case report of spontaneous, atraumatic left hydrocele rupture in a 64-year-old male. His hydrocele was initially diagnosed as non-complex and appeared to have ruptured spontaneously three years after initial onset. On follow-up in clinic, mild re-accumulation of fluid was observed, and no pain was reported by the patient. Post-rupture fluid re-accumulation was minimal in our patient but there is potential for significant fluid re-accumulation based on other reports of ruptured hydroceles.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.261
Teacher spread0.250 · 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.

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
Published2022
Admission routes1
Has abstractyes

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