Effect of Metaphylactic Antimicrobial Use on the Development of Antimicrobial Resistance in Fecal E. coli Isolates of Feedlot Cattle
Bibliographic record
Abstract
Much of the long-term economic and environmental stability of beef production seems to be driven by marketplace issues such as food safety and quality assurance that would include the potential presence of antimicrobial resistant bacteria. Long-acting injectable antimicrobials are widely used for metaphylaxis in calves on arrival at the feedlot. Previous feedlot trials by other researchers have associated metaphylaxis with lowered rates of morbidity and mortality from respiratory disease. Average daily gain, feed efficiency, case fatality rates, treatment rates, and relapse rates for bovine respiratory disease have also improved in animals where metaphylaxis is used. Metaphylaxis, therefore, has great industry significance from both an economic and animal welfare perspective. The objectives of this study were: 1) to determine the prevalence of fecal E. coli resistant to antimicrobials in auction-mart derived weaned calves, 2) to determine the effect of metaphylactic antimicrobial usage on the development of fecal E. coli resistant to various antimicrobials, and 3) to determine the persistence of antimicrobial resistant fecal E. coli and to evaluate the potential risk of their presence preslaughter.
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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 | 0.000 | 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".