Investigation of antimicrobial resistance in Salmonella, Escherichia coli and Campylobacter isolated from Ontario sheep flocks
Bibliographic record
Abstract
This thesis examines the prevalence of antimicrobial resistance (AMR) in enteric bacteria isolated from Ontario sheep flocks, and associations between antimicrobial use (AMU) and AMR. All AMU information from 49 flocks over a 12 month period was recorded. Pooled fecal samples from initial and final visits were cultured for enteric bacteria. Isolates were tested for antimicrobial susceptibility. The prevalence of resistance was infrequent in 'Salmonella ' (0%) and 'E. coli' (13.1%), but relatively more common in 'Campylobacter' (45.7%). Logistic regression was used to model potential AMU (quantitative and qualitative) risk factors for tetracycline resistance in generic 'E. coli' and 'Campylobacter'. Risk factors in the 'E. coli' model included the use of injectable sulfonamides or trimethoprim-sulfonamide combinations and the use of tetracycline in the feed or water. No associations were identified for 'Campylobacter ' resistance outcome variables. Although the prevalence of AMR in participating flocks was low, risk factors for resistance were identified.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".