Estudo seroepidemiológico num criador de cães para avaliar a resposta a anticorpos contra leptospira spp.
Bibliographic record
Abstract
It was carried out a seroepidemiologic study from May to July 2003, in a canine breeding in Huesca (Northeastern Spain), to evaluate the antibody titer against leptospires (LPT). The study included 207 dogs of different breeds: Golden Retriever (GR), Labrador Retriever (LR), and Pyrenean Mountain dog (PM). 80 where adult and 127 puppies. Serum samples of puppies were taken sequentially: at 6 weeks old (D0), at eight weeks old (D1, day of the first LPT vaccination), at 10-12 weeks old, (D2, day of the second LPT vaccination); at 2 -4 weeks of the previous (D3, third vaccination). All this vaccines were polyvalent. Adult dogs were vaccinated annually in April with a pentavalent vaccine, serum was taken in July. The ELISA test was used to detect IgG antibodies against pathogenic LPT. The results were analyzed by Epi Info statistical programme. Adult dogs showed higher mean of Ab titres against LPT (7.7 Log2, 1/208) than that of the puppies (5.6 Log2, 1/49), (p = 0.0000). There were association between genre and Ab titres reached (p ≤ 0.05), where adults females had the higher Ab titres. In puppies, the moment of sampling was associated to differences on Ab titres (p ≤ 0.05). In the interval from 6 to 8 weeks old it was observed a slight increase of the mean of Ab titres, without being vaccinated, probably they had natural contact with leptospiras. It was observed a partial seroconversion after the first and second LPT vaccination. GR breed showed the best immune response to the first LPT vaccination.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.001 | 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".