Retrospective study of the clinical features of limb cellulitis in 63 horses
Bibliographic record
Abstract
A retrospective study of 63 horses diagnosed with limb cellulitis between 1994 and 2005 was conducted. They all had an acute onset of painful, generalised limb swelling, and a clinical diagnosis of limb cellulitis was made by the attending clinician. None of the horses had more than one limb affected. Hindlimbs were significantly more often affected than the forelimbs (P<0.05). Thoroughbreds were significantly over-represented compared with the general distribution of breeds examined at the hospital. Blunt limb trauma, limb surgery and limb injections were associated with the cellulitis in most of the horses, but no plausible cause could be determined in 27 (43 per cent) of the cases. Staphylococcus aureus and Streptococcus species were frequently isolated, although mixed bacterial infections were also common. All the horses were treated with broad spectrum antimicrobials and non-steroidal anti-inflammatory agents, and ultrasound-guided surgical drainage was also applied in 14 cases. Fifty-six of the 63 horses (89 per cent) were discharged from the hospital. Laminitis affecting the contralateral limb was the most common reason for the euthanasia of the other seven horses.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".