Évaluation d'un score clinique ("Score Wisconsin") pour le diagnostic des maladies respiratoires des veaux laitiers avant sevrage au Québec
Bibliographic record
Abstract
Bovine respiratory disease complex is one of the most common diseases affecting dairy calves, especially at commingling, and is very hard to handle. Early detection and treatment, of the sick ones, and maybe even of the whole herd, are essential. Wisconsin calf respiratory clinical scoring system allows veterinarians and farmers to assess the respiratory health of the animals, in an easy, quick and non-invasive way. The goal of this thesis is to assess if a change in operators has any influence on the calves’ grades, in order to determine if the final results are reliable. The results show lots of differences between the operators, regarding the clinical scores. However, concerning the proportion of calves being considered as “sick” or “healthy”, the results are similar from one operator to the other. This means that this clinical scoring system is reliable, and is usable on farms, to decide whereas the herd should be treated or not, when a portion of the animals are sick.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".