Antimicrobial Resistance Profiles of <i>Escherichia coli</i> and <i>Salmonella</i> Isolates in Canadian Broiler Chickens and Their Products
Bibliographic record
Abstract
Antimicrobial resistance (AMR) is a global public health threat. The main purpose of this study was to evaluate AMR in generic Escherichia coli and Salmonella recovered from broiler chickens in Canada. To do this, an analysis of the antimicrobial susceptibility results was performed on a sample of generic E. coli and Salmonella isolates from the 2012 to 2013 national microbiological baseline study in broiler chicken. Of the 1135 generic E. coli isolates tested, 940 (82.8%) were resistant to at least one antimicrobial, with a large number of unique AMR profiles observed. Of the 1495 Salmonella isolates tested, 879 (58.8%) were resistant to at least one antimicrobial. Resistance was most common to aminoglycosides, β-lactams, and tetracyclines and, for generic E. coli isolates only, folate inhibitors. Differences in AMR patterns were observed across regions for both E. coli and Salmonella . For Salmonella , the levels of resistance were similar across the different sectors sampled along the food chain (e.g., slaughterhouse and retail) and the types of product sampled. There were also considerable differences in the levels and patterns of resistance among different Salmonella serovars, with most Salmonella Enteritidis isolates being susceptible to all antimicrobials tested.
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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 | 0.002 | 0.002 |
| 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".