Efficacy of tilmicosin for on-arrival treatment of bovine respiratory disease in backgrounded winter-placed feedlot calves
Bibliographic record
Abstract
A trial was conducted in a commercial feedlot in southern Alberta, Canada to evaluate the cost-effectiveness of metaphylactic treatment with tilmicosin for control of bovine respiratory disease. First-pull treatment rates for BRD (P=0.006) and arthritis (P=0.02) were significantly lower in calves administered tilmicosin on arrival compared to non-medicated controls. Calves treated with tilmicosin at arrival-processing had gained an additional 20 lb (9.1 kg) at terminal weight sort (P=0.0002), with higher average daily gain (P=0.0001) and lower dry matter conversion (P=0.008). The cost- benefit of tilmicosin metaphylaxis in these feedlot calves depended on the method of calculation. Based on reductions in BRD and arthritis treatment rates and reduced feed costs because of improved dry matter conversion, there was a net advantage of $3.41CAN/head for those calves given tilmicosin on arrival compared to non-medicated controls. Based on improved treatment rates and additional weight gain, the net advantage was $8.09CAN/head for those calves given tilmicosin compared to non-medicated controls. These economic calculations assumed performance benefits observed at terminal weight sort were retained until slaughter, approximately 30 to 40 days later.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".