Reference intervals for Cu, Mg, and Zn in captive gyrfalcons and other falcon species in the United Arab Emirates
Bibliographic record
Abstract
Falconry is a long-standing tradition in the United Arab Emirates (UAE), and in 2016, falconry was included by UNESCO in the list of intangible cultural heritage of humanity. The health and wellness of falconry raptors is a priority for the local culture; plasma chemistry analysis plays an important role in monitoring, assessing, and managing diseases in avian patients. Imbalances of Cu, Mg, and Zn have been linked to several diseases in avian species; therefore, determining the reference intervals (RIs) of these minerals has important implications in the clinical management of falcons. We determined the RIs in plasma for Cu, Mg, and Zn in captive (falconry-managed) falcons according to the Quality Assurance and Laboratory Standards Committee of the American Society for Veterinary Clinical Pathology, and the Clinical Laboratory Standards Institute guidelines. Blood chemistry analyses were carried out on 252 clinically healthy falcons examined at the Dubai Falcon Hospital in the UAE: 124 gyrfalcons ( Falco rusticolus) and 128 falcons of other species. We observed no significant variation in RIs of Cu (1.5–7.0 µmol/L), Mg (0.49–0.78 mmol/L), or Zn (11.8–34.1 µmol/L) based on different species or sex.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".