THE AMOUNT, ECONOMIC VALUE AND ENVIRONMENTAL EMISSION OF CEPHAPIRIN AT DRY-OFF IN HOLSTEIN AND SIMMENTAL DAIRY COWS BY HERD SIZE
Bibliographic record
Abstract
The research aim was to quantify the use of cephapirin in dry cow therapy, to estimate the economic value and potential environmental emissions regarding the herd size. The analysis included a 307,531 test-day records from Holsteins and 383,208 from Simmental. Udder health status at the last milk recording before dry-off was classified according to SCC criteria, and the scenario assumed universal use of BDCT, 1.2 g cephapirin per cow (300 mg per quarter × 4). The estimated total amount of cephapirin was 369.0 kg in Holsteins and 459.8 kg in Simmentals. The economic cost of the application was €7.85 million in Holstein and €9.78 million in Simmental herds, with healthy cows generating the largest share of the cost due to their large numbers. The estimated environmental release was 221.4 kg for Holstein and 275.9 kg for Simmental, with PEC/PNEC ratios high above the risk threshold, RQ 4,428.41 and 5,518.19, respectively.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 teacher head, 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".