Bibliographic record
Abstract
Two calculi were discovered in an 84-year-old woman who was a bedridden resident of a nursing home. One calculus was just external to the vagina, and the other was inside. Both were foul smelling, 1 to 3 cm in diameter, tan in color, porous, and crispy (Fig. 1). A chemical analysis revealed the calculi to be composed of magnesium and ammonium phosphate. The patient did not have a urethrovaginal fistula. ... ... The answers are on the next page. Stones are characterized by appearance, size, number, mass, shape, and composition (1). Primary vaginal calculi occur from vaginal pooling of urine due to a urethrovaginal fistula, or in bedridden women due to neurogenic voiding dysfunction and other reasons (2–4). Secondary calculi are due to the presence of a foreign body. Chemical analysis confirmed struvite stones, which are associated with chronic urinary tract infections by urea-metabolizing microorganisms. Approximately 10% of urinary calculi are struvite. Vaginal calculi are frequently composed of struvite but may consist of urinary salts. Patients should be treated with antibiotics, and stones should be removed, because the stones themselves are often infected with bacteria.
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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 | 0.010 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.041 |
| Scholarly communication | 0.012 | 0.025 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.007 | 0.023 |
| Insufficient payload (model declined to judge) | 0.044 | 0.013 |
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".