Case series – Urethra diaries
Bibliographic record
Abstract
CASE REPORT 1A 38-year-old woman presented to the emergency department with sudden-onset voiding dysfunction, vaginal pain, and a new protruding vaginal mass following a sneezing episode.Her presenting creatinine was normal at 79 and glomerular filtration rate (GFR) was 82.She has a past medical history of mild stress urinary incontinence, non-specified anxiety, and depression disorders on escitalopram daily, and has had two uncomplicated vaginal deliveries.Urogynecology was consulted for an irreducible vaginal prolapse, as multiple attempts to reduce the bulge were unsuccessful.On examination, a purple mass was noted at the 6-o'clock position beneath the urethral meatus (Figure 1A).This appeared to be most in keeping with a thrombosed lesion.The patient was in significant pain. Diagnostic processTwo urogynecology staff examined the patient in the clinic.A Foley catheter was inserted, and urine sent for culture.Local anesthetic jelly was applied, and with patient consent, the mass was drained of clots and serosanguinous fluid via a small scalpel incision.Monsel's solution was applied for hemostasis.The patient experienced immediate relief.The fluid was sent for culture and cytology.She was started empirically on amoxicillin-clavulanic acid 875/125 mg, as she reported lower urinary tract symptoms prior to cyst prolapse.A kidney and bladder ultrasound (US) was ordered that day.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".