Diagnostic approach to chronic diarrhoea in adult horses
Bibliographic record
Abstract
Summary Chronic diarrhoea presents a diagnostic challenge for both human physicians and equine veterinarians. There is currently no consensus in the equine veterinary literature on the definition of chronic diarrhoea. The differential list is extensive and identifying diarrhoea by pathophysiologic mechanism can help remove less likely diagnoses. Achieving a definitive antemortem diagnosis is also challenging. Results from non‐invasive diagnostics may only lead to the conclusion that inflammation is present. Cellular infiltrate, if present, may not be representative of the underlying disease. Invasive diagnostics resulting in acquisition of full‐thickness biopsies may result in a diagnosis when other methods have failed. However, there is currently minimal data correlating these findings with those from full post‐mortem examination. This article discusses the various diagnostic options and reviews the available literature on their value in evaluating currently available patients with chronic diarrhoea.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 teacher head, 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".