Biochemical and hematological evaluations of black howler monkeys (<i>Alouatta pigra</i>) in highly degraded landscapes in Mexico
Bibliographic record
Abstract
BACKGROUND: Loss and fragmentation of Neotropical primates' habitat can alter the health and individual adaptation. Physiological parameters reflect health status and individuals responses to the habitat conditions. METHODS: We captured six wild adult females and six adult males of Alouatta pigra to evaluate their physical condition (body mass, respiratory and heart rate, and rectal temperature), hematology and blood chemistry on fragmentation habitat condition at southeastern Mexico. RESULTS: The males weighed more than females, but the female' temperature, respiratory rate, and heart rate were higher. Low values of hemoglobin, hematocrit, and red blood cells suggest some degree of anemia in these howler monkeys. Low levels of the total protein, albumin, albumin/globulin Ratio, and low levels of blood urea nitrogen suggest that howler monkeys could have protein and carbohydrate deficiencies. CONCLUSIONS: Howler monkeys living under the highly degraded conditions at Balancán, Tabasco, could be showing adaptability by modifying their physiology, hematology, and blood chemistry in response to the conditions of their fragmented landscape.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".