Myopathy in a Haflinger horse: An initiating search for a fatty acid oxidation deficiency
Bibliographic record
Abstract
Summary So far, the area of fat metabolism disturbances has been poorly explored in the horse but, as in man, deficiencies in the β‐oxidation of fatty acids (FAOX) and in carnitine metabolism or carnitine transport potentially can be a cause of myopathy. A 9‐year‐old Haflinger patient with recurrent rhabdomyolysis and 5 healthy horses of various breeds with a mean age of 16 ± 5.9 years were used as a comparison. Blood biochemical analysis revealed elevated aspartate amino transferase, lactate dehydrogenase and creatine kinase activities. Plasma vitamin E concentration was low and selenium was within the reference range. Quantitative electromyography was indicative of myopathy based on the short duration and low amplitude motor unit action potentials. Staining of muscle biopsies was suggestive for a myopathy based on a disturbance in fat catabolism. Carnitine, acylcarnitines, very‐long‐chain fatty acids and organic acids screening in blood and urine established no differences between these parameters in the patient and control horses. Even though this patient was negative on FAOX or carnitine disturbances, the potency of the applied methods seems large and indicates a potential diagnostic value.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".