Urospermia indicating ectopic ureters in breeding dogs – 3 cases
Bibliographic record
Abstract
An Entlebucher Mountain Dog (57 months old, case 1), a Labrador Retriever (24 months, case 2) and an Irish Soft-Coated Wheaten Terrier (31 months old, case 3) were presented for breeding soundness evaluation to the clinic. During semen collection in all 3 dogs, the pre-secretion and the sperm-rich fraction showed normal consistency and colour, whereas the prostatic secretion (3 rd ejaculate fraction) appeared strikingly yellow. In cases 1 and 2, a severely decreased sperm motility (asthenozoospermia) and an increased amount of abnormal spermatozoa (teratozoospermia), and in case 3, a moderately decreased total sperm count (oligozoospermia) were detected. Sonographical examination revealed abnormal findings regarding the uretero-vesical junction and ectopic ureters. Therefore it is concluded that urine admixture to the 3 rd ejaculate fraction may indicate the presence of ectopic ureters and may cause impairment of semen quality and fertility. The present cases raise questions regarding urospermia concerning: 1. its incidence in dogs in general and in connection with ectopic ureters and 2. its relevance as a cause of deficient ejaculate quality and subfertility or infertility.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".