Un caso di iperplasia pseudo-placentare (PEH) in una cagna: Osservazioni cliniche e rilievi istopatologici
Bibliographic record
Abstract
A healthy female Labrador Retriever was referred to the Reproduction Unit for a gynecological examination and for monitoring the cycle in view of the mating. The bitch underwent natural mating and the pregnancy diagnosis was performed on the 35th day after mating. The ultrasound examination revealed a mono gestational pregnancy and the presence of a parenclyymatous structure with very scarse liquid component consistent with the remaining of an empty gestational sac. At the end of the pregnancy a caesarean section was needed. The puppy was alive and apparently healthy. After ovariohysterectomy different nodular structures were observed on the endometrium of both uterine horns. A histopathological examination diagnosed a Pseudoplacentational Endometrial Hyperplasia (PEH) a not so common pathological finding often misdiagnosed as a common gstic endometrial hyperplasia.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".