Estresse em gatos: Revisão
Bibliographic record
Abstract
This review aims to improve knowledge about stress in cats, to understand the feline nature, its domestication history and the influence of stress on behavioral parameters and complementary tests. Although the “cat-human” attachment is old, cats are considered the most recently domesticated animal among other domestic species. As they do not play a role in society that requires genetic gain or improvement, their artificial selection was extremely subtle, which allowed their morphophysiology and behavior to remain similar to that of their wild ancestors. Cats are animals naturally more susceptible to stress, and when taken to the veterinary consultation, the animal becomes anxious and scared due to several environmental factors. Faced with this situation, defense mechanisms are activated, which are characterized by emotional excitement with an increase in the production and release of catecholamines and glucocorticoids, causing systemic manifestations that course with physiological and psychological disorders. Changes in physical parameters such as tachypnea, hyperthermia and tachycardia are commonly observed. The results of complementary exams also undergo changes, and there may be irregularities in the concentration of blood cells in the blood count, an increase in the dosage of glucose and systemic blood pressure, which makes it difficult for the veterinarian to make an accurate diagnosis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".