The utility of ketoprofen for alleviating pain following dehorning in young dairy calves.
Bibliographic record
Abstract
To determine if ketoprofen, in addition to local anaesthesia, reduces pain following dehorning, we experimentally dehorned dairy calves, less than 2 weeks of age, with (20 calves) or without (20 calves) intramuscular injections of ketoprofen. All calves received a local anesthetic (lidocaine) prior to dehorning and were dehorned with heat cauterization. Cortisol concentration was measured via jugular blood samples taken immediately before dehorning and at 3 and 6 hours following dehorning. Calf behavior was recorded between 0 and 2, 3 and 5, and 6 and 8 hours following dehorning. There was no significant (P > 0.10) effect on creep feed consumption, cortisol concentration, or any of the behavioral measures during the time periods studied. However, the difference in cortisol concentrations from the time of dehorning until 3 hours later was significantly lower (P < 0.05) in the ketoprofen-treated group. These results suggest that ketoprofen, in addition to local anesthesia, may alleviate short-term pain following dehorning with a butane dehorning device in dairy calves less than 2 weeks of age.
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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".