Swimming Syndrome in Two Labrador Puppies
Bibliographic record
Abstract
Summary Swimming puppy syndrome, is an uncommon developmental abnormality observed in neonatal dogs in which the hind limbs and sometimes the front legs, are splayed laterally. Affected animals often remain in sternal recumbency exhibit swimmer like movements at the time of trying to ambulate that are more pronounced on smooth surfaces. The cause of the syndrome is unknown, although various undocumented theories have been formulated. Twenty five-day-old, two Labrador retriever littermates constituted the study material. Clinically, inability of stand or move about, extended limbs, swimming like movement on sternal recumbency and inability of adduction in the limbs were observed. Neurological examination was considered normal. Bilateral lateral patellar luxation was observed in both cases. Before starting to the treatment, a soft rug, 3 cm in thickness, was spread over the floor of the whelping box. In the treatment process, physiotherapy of both hind limbs was initiated and performed for 5 min, three times daily. Gentle passive flexion, extension and adduction of the hock, stifle and hip joints were performed. At the end of the 6 th week of treatment process, functional activity of the limbs was observed in both cases. As a result it was concluded that, both puppies were able to walk as good as their littermates at the end of the 6 th week of the therapy process as mentioned in the previous studies, and prognosis is good with lack of concomitant pectus excavatum.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".