Evaluation of Thoracic Ultrasonography as a Diagnostic and Prognostic Tool for Early Bovine Respiratory Disease of Feedlot Calves in Western Canada
Bibliographic record
Abstract
It is generally accepted that early recognition and treatment of bovine respiratory disease (BRD) improves both prognosis and outcomes, while delayed diagnosis and treatment may result in treatment failure. Methods used to detect BRD in feedlot cattle include the assessment of animal demeanor and behavior by trained feedlot workers ("pen checkers") and evaluation oftransrectal temperature. The serial use of these two methods is currently the most practical, economically feasible, and common means of detecting BRD in feedlot cattle. However, recognized limitations of these methods may result in cattle without BRD being treated unnecessarily, while animals with BRD may remain undetected or be subject to delayed detection, all of which have adverse animal well-being and economic implications. This project investigated the use of thoracic ultrasonography (US) as a diagnostic tool for the assessment of early BRD in feedlot cattle, and evaluated associations between US findings and subsequent animal health and production outcomes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".