Nutritional secondary hyperparathyroidism and subsequent fibrous osteodystrophy in a 3-year-old dromedary camel.
Bibliographic record
Abstract
A 3-year-old female dromedary camel was referred as an urgent case for evaluation of chronic weight loss, facial deformity, and hind-limb lameness. On initial examination, the camel was emaciated, with bilateral masses protruding from the maxillary and mandibular bones and extending into the oral cavity; the lameness could not be assessed due to recumbency. Clinical pathology and fecal flotation findings were consistent with secondary nutritional hyperparathyroidism, hypovitaminosis D, marked anemia, hypoproteinemia, and parasitism. The camel was euthanized based on the presumptive diagnosis of fibrous osteodystrophy, which was confirmed on postmortem examination. Preventative strategies were recommended for future care of dromedaries and included camel husbandry with adequate ultraviolet light exposure, adequate nutrition, appropriate anthelmintic control programs, and vitamin D supplementation. Key clinical message: The cause of fibrous osteodystrophy in camels can be multifactorial and include secondary nutritional hyperparathyroidism, hypovitaminosis D due to inadequate exposure to ultraviolet light or intake, and parasitism. Specific nutrient requirements, sun exposure, and anthelmintic protocols are essential for camels living in North America.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".