Management of exuberant granulation tissue in horses: Review of 18 cases
Bibliographic record
Abstract
The retrospective study included 18 horses with the history of exuberant granulation tissue. Analysis of the condition was done based on age and sex of the animal, affected anatomical site, treatment and recovery status. Highest incidence of exuberant granulation tissue was noticed on limbs (n=12) followed by thorax, abdomen, pelvis (n=4) and head and neck (n=2). Mean age of the affected horses was 5.05 yr; 14 were males and 4 females. Surgical excision was done in most of the horses followed by firing, cauterization with potassium permanganate crystals and application of corticosteroid ointment. Postoperative medication included administration of antibiotic and anti-inflammatory drugs and oral serratopeptidase, along with application of pressure bandage in most of the cases. All the horses recovered uneventfully in about 10-90 days. Histopathological examination confirmed the granulation tissue, characterized by the proliferation of fibrous tissue along with blood vessels.
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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 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".