Feline leptospirosis serosurvey from a Quebec referral hospital.
Bibliographic record
Abstract
Epidemiologic studies have linked interactions with cats as a risk factor for human leptospirosis, but serosurveys of feline Leptospira spp. infection are scarce in the veterinary literature. The objective of this study was to conduct a serosurvey of Leptospira spp. infection in cats presenting to an eastern Canadian veterinary teaching hospital (VTH). All serum samples collected from cats presented to the VTH were tested by the microscopic agglutination test (MAT) for the Leptospira serovars Canicola, Grippotyphosa, Icterohaemorrhagiae, Bratislava, Pomona, and Autumnalis. Ten of 40 cats [25%; 95% confidence interval (CI): 12.7% to 41.2%] tested had positive antibody titers (≥ 1:100). All 10 cats with positive titers were positive for Bratislava and 2 were also positive for Autumnalis. This high incidence of seropositivity for Leptospira spp. may suggest that the disease could be of more clinical importance than previously recognized.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.003 | 0.006 |
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; both teacher heads agree on what is shown here.
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".