Antimicrobial use in sheep and antimicrobial resistance among Salmonella spp. and Escherichia coli from cull ewes in Alberta
Bibliographic record
Abstract
As part of a larger sheep health surveillance project carried out in Alberta in 2001, a study was conducted examining antimicrobial resistance in enteric bacteria of ovine origin. Antimicrobial use information was collected using a flock-level questionnaire for flocks providing cull ewes to the project. Fecal contents from the ewes were cultured for 'Salmonella' spp. and generic 'Escherichia coli'. Isolates were tested for susceptibility to 18 antimicrobials using broth microdilution methodology. Antimicrobial use appeared to be relatively infrequent in the Alberta sheep industry. Ninety-seven percent of 'Salmonella' isolates (mainly ' S. enterica' subspecies 'diarizonae') and 66% of generic ' E. coli' were susceptible to all 18 antimicrobials. Logistic regression was used to identify risk factors that were statistically associated with the occurrence of antimicrobial resistance in generic 'E. coli' isolates. These included flock size, antimicrobial use for prophylaxis and/or group therapy, in-feed antimicrobial use and the use of specific antimicrobials.
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 | 0.001 |
| 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) | 0.000 | 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".