Reference intervals for hematology, serum biochemistry, and basic clinical findings in free‐ranging Chinese Pangolin (<i>Manis pentadactyla</i>) from Taiwan
Bibliographic record
Abstract
BACKGROUND: There are 8 species of Pangolins found in Asia and Africa. Among them, the Chinese Pangolin (Manis pentadactyla) is an endangered insectivorous mammal found only in Asia. Hematology and serum chemistry reference intervals are critical for evaluating an animal's well-being and can be useful for clinical diagnostic purposes. Currently, there are no such reference intervals available for any Pangolin species. OBJECTIVE: The purpose of the present study was to establish reference intervals for hematology and serum biochemical analytes, and some basic clinical findings, in Chinese Pangolins. METHODS: Reference intervals for the hematology and serum chemistry variables, and basic clinical findings (body weight, heart rate, body temperature, blood oxygen saturation) were collected from 100 clinically healthy Chinese Pangolins (51 males and 49 females) using parametric and nonparametric percentile methods. In addition, seasonal, age-related, and sexual differences for all variables were statistically analyzed. RESULTS: No significant differences in the reference intervals were found between males and females, except for body weight. However, significant seasonal differences were observed for heart rate, body temperature, serum ALT and lipase activities, and phosphate concentrations. The variables, which were significantly different between adult and sub-adult Pangolins were heart rate, MCH, creatinine, total protein, phosphate, glucose, and potassium concentration, and amylase activity. Seasonal and age group differences should be taken into consideration when using these reference intervals. CONCLUSIONS: The findings from the present study represent a valuable resource for assessing the health of Chinese Pangolins, and contribute toward the conservation of this endangered mammal.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".