Performance of a milk leukocyte differential test for decision-making in a selective dry cow therapy program
Bibliographic record
Abstract
The objectives of this study were 1) to determine the operating characteristics of a commercial milk leukocyte differential (MLD) test to detect intramammary infections in quarters of late-lactation dairy cows as compared to bacteriological culture and 2) to evaluate the milk production and udder health parameters between cows treated following blanket vs selective dry cow therapy (DCT) using the MLD test results. In a first experiment, the MLD test was compared to the bacteriological culture results (gold standard) of 363 quarters from 94 cows. The sensitivity, specificity, and predictive values for the identification of infection using the MLD test were determined. Sensitivity ranged from 44% to 77%, and specificity from 54% to 92%. In the second experiment blanket DCT was compared to selective DCT based on the results of MLD test, and treating only positive quarters; a total of 328 cows were randomly assigned to 1 of the 2 treatment groups. The proportion of quarters positive to bacteriological culture, and the incidence rate of moderate and severe cases of clinical mastitis events, did not differ between treatment groups. Results of these experiments provide information to support decision-making in a selective DCT program in low-SCC herds using the MLD test.
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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 | 0.000 | 0.000 |
| 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 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".