Serologic studies of canine Lyme borreliosis in the Zagreb area (Croatia)
Bibliographic record
Abstract
Sera from 120 apparently healthy dogs, 74 purebred, 46 mixed-bred, 57 females and 63 males in the Zagreb area (Croatia) were examined by enzyme-linked immunoadsorbent assay (ELISA) for antibodies to Borrelia burgdorferi.During triple i/v immunization of dog at 1, 7 and 14 day, on each occasion with 5 ml 1.4×10 7 cells/ml of B. burgdorferi sensu stricto, strain B31 ATCC 35210, a positive control serum was obtained at day 28 p.i., while negative control serum was obtained prior to immunization.The antigen for ELISA was prepared from the same bacterial strain sonicated on ice.The sonicate was quantified by sodium dodecyl sulphate polyacrilamid gel electrophoresis (SDS PAGE).IgG antibodies to B. burgdorferi were estimated in 6 (5%) samples of dog sera in titre ranging from 1:100 to 1:2000 (Optical density-OD=0.650+ 36.49,n=6).Antibodies to B. burgdorferi were found in two females and four males, two Labrador retrievers and in one German shepherd, a Hungarian viszla, one cocker spaniel, and a German wirehaired pointer at 2.5 to 8 years of age.Of 114 seronegative samples three samples were found to be very close to the margin of optical density that determined seropositive result (OD=0.562).Estimated seroprevalence to B. burgdorferi in dog sera suggested that dogs in the Zagreb area are infected with B. burgdorferi and that the Zagreb area is part of a wider Central European Lyme boreliosis endemic area.
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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 | 0.001 |
| 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".