Avaliação eletrocardiográfica em cães da Polícia Militar do Estado do Rio de Janeiro
Bibliographic record
Abstract
ABSTRACT. Lima A.M., Ferreira L.T., Silva S.C., Jorge S.F., Ramos M.T., Pascon J.P.E., Moreira R.M. & Abidu-Figueiredo M. [Electrocardiographic evaluation in dogs of the Military Police of Rio de Janeiro.] Avaliação eletrocardiográfica em cães da Polícia Militar do Estado do Rio de Janeiro. Revista Brasileira de Medicina Veterinária, 38(Supl.2):61-66, 2016. Universidade Federal Rural do Rio de Janeiro, BR 465, Km 7, Seropédica, RJ 23897-970, Brasil. E-mail: marceloabidu@gmail.com In Rio de Janeiro, the Army, the Military Police and the Municipal Guard use dogs for routine patrol and detection of drugs, weapons, explosives and people. The most used breeds are German Shepherd, Labrador Retriever, Malinois Belgian Shepherd, Dutch Shepherd, and Doberman. Although these animals follow a protocol of physical activity, the kennel does not include a routine cardiovascular assessment and preventive hematologic exams. Forty four adult dogs were used, 13 Labrador Retrievers, 12 Malinois Belgian Shepherds, 10 German Shepherds, eight Dobermans and five Dutch Shepherds, all clinically healthy and from the Military Police Battalion of Action with Dogs of the Rio de Janeiro state. The animals underwent computed electrocardiographic and hematological evaluations. All electrocardiographic variables were correlated with body weight. Among the five breeds evaluated in the present study, only the Labrador breed showed a positive correlation between the duration of the QT interval and weight. The other electrocardiographic variables did not show any correlation with body weight. There were differences in the electrical shaft angle in Dobermann breed dogs. Labrador breed dogs showed the highest values for P wave amplitude and the breed Dobermann the lowest values. Breed dogs Labrador and German Shepherd showed the highest values for R wave amplitude and the breed Dobermann the lowest values. The QT segment as Labrador breed dogs is directly proportional to body weight.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".