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Record W2105240693 · doi:10.1177/8756479306297097

Testicular Torsion in an Elderly Man

2007· article· en· W2105240693 on OpenAlexaff
Johan Ghazali

Bibliographic record

VenueJournal of diagnostic medical sonography · 2007
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsBoucher Institute of Naturopathic MedicineBritish Columbia Institute of Technology
Fundersnot available
KeywordsMedicineTesticular torsionHydroceleTesticular painScrotal PainEtiologyColor dopplerTorsion (gastropod)SurgeryRadiologyUltrasonographyPathologyScrotum

Abstract

fetched live from OpenAlex

Testicular pain has a variety of etiologies, including torsion, inflammation, trauma, and cancer. Differentiation of these diseases is important for proper treatment and prevention of further complications. A most noteworthy cause of testicular pain may be testicular torsion, in which a delayed diagnosis could result in the loss of the testis. Sonography plays a major role in the diagnosis of testicular torsion. Both gray-scale and color Doppler sonography aid in deriving a specific diagnosis that will help the physician in managing the condition. A case of an elderly man with testicular discomfort and complex hydrocele is presented.

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation 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 score0.067
Threshold uncertainty score0.721

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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)0.0000.000

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 head0.010
GPT teacher head0.313
Teacher spread0.303 · 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.

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

Citations2
Published2007
Admission routes1
Has abstractyes

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