Prevalence of coagulase-positive staphylococci in the nasal cavity of dogs and cats
Bibliographic record
Abstract
The genus Staphylococcus is present in nasal flora and causes opportunistic infections in humans and various animals. The main pathogenic staphylococcus is Staphylococcus aureus. Other coagulase-positive staphylococci are primarily of relevance for dogs and cats, namely Staphylococcus intermedius, Staphylococcus schleiferi subsp. coagulans, and Staphylococcus pseudintermedius. These species are commensal organisms, but are also a cause of disease (such as pyoderma and atitis externa) in both dogs and cats. The recently identified Staphylococcus pseudintermedius is occasionally isolated from serious human infections, and the emergence and spread of methicillin-resistant Staphylococcus pseudintermedius straisn are major veterinary and public health issues. This study was designed to understand the prevalence of coagulase- positive staphylococci in the nasal cavity of dogs and cats and the role of companion animals as reservoirs of pathogenic and antimicrobial-resistant staphylococci. The aim of the present study was to isolate and identify coagulase-positive staphylococci from companion animals' nasal cavities. Swabs were collected from different age (5 months - 13 years) of 24 dogs and 19 cats nasal cavities. The nasal cavity microflora of Yorkshire terriers, Labrador, French Bulldog, West Scottish terrirs, Pekinese, Siberian Huskies, German shepherds, Boxer, Shar-Pei, dachshund and mixed breed dogs; Sphinx, Siamese, British shorthair and mixed breed cats were examined. Swabs were inoculated in Tryptone Soya Broth (Oxoid, England). [...].
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 | 0.000 | 0.001 |
| 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".