407 Transition from the ranch to the feedyard: Challenges and management strategies to improve calf health welfare and performance
Bibliographic record
Abstract
Abstract The health, welfare and performance of newly received feedlot calves is intricately connected to their pre- and post-weaning management as well as how they are transitioned from the ranch to the feedyard. Industry data suggest that despite prophylactic antimicrobial use in receiving calves the incidence of respiratory related morbidity and mortality has remained unchanged in Canadian feedyards for the past 4 decades. It is well established that any management practice causing stress or pain has an immunosuppressive effect thereby increasing the risk of calf morbidity and mortality and reducing performance efficiency. There are several factors that could contribute to this including, if and or how preconditioning is conducted, comingling at assembly yards or auctions and number of calf sources, and the distance calves are transported and the effects of rest. The impacts of other timely and relevant factors such as environmental conditions (rapid and extreme weather/temperature changes) and cattle type (dairy beef or dairy beef cross) will also be covered. Studies assessing these impacts on receiving calf health, welfare and performance as well as potential strategies for mitigating negative effects will be discussed.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".