Epidemiology of Campylobacter, Salmonella, and antimicrobial resistant E. coli among free-living Canada geese in southern Ontario
Bibliographic record
Abstract
This thesis investigated the role of Canada geese as carriers of pathogenic and resistant bacteria in southern Ontario, using samples collected from three sources: hunted birds, diagnostic specimens, and live birds. Based on multi-level logistic regression models, the prevalence of Campylobacter was significantly lower during the nesting period when birds are nonvolant, suggesting that bird mobility outside of the breeding season impacts the carriage of these microorganisms. Antimicrobial resistance in E. coli was significantly associated with source, which suggests the local environment may be an important source of resistant bacteria. Examination of E. coli resistance patterns and Campylobacter subtypes (based on comparative genomic fingerprinting using a 40-gene assay) in different flocks of geese revealed similar resistance profiles and molecular subtypes in birds of the same flock. Canada geese may be a source of these microorganisms, and have the potential to disseminate them in the environment due to their migratory nature.
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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".