The relationship between herd level disease incidence and a return over\nfeed index in Ontario dairy herds
Bibliographic record
Abstract
The objective of the current research was to examine the association of\nherd level disease incidence with the return over feed (ROF) (milk income\nminus feed cost) herd profit index offered through Canwest Dairy\nHerd Improvement. The lactational incidence risks (LIR) for displaced\nabomasum, retained placenta, clinical mastitis, milk fever, clinical ketosis, and\nlameness submitted by producers (n = 48) were similar to previous reports. However, there was no\nnegative association of clinical disease LIR’s with ROF. Subclinical\nketosis and subclinical mastitis cumulative incidence were determined\nduring the early postpartum period by using a cow-side test for\nbetahydroxybutyrate in milk and the California Mastitis Test, respectively. Subclinical\nmastitis was not associated with ROF. However, a unit\nincrease in the cumulative incidence of subclinical ketosis was associated\nwith a decrease of $0.015/cow/day in the ROF. The results\nhighlight the economic significance that subclinical ketosis may have\nin Ontario dairy herds.
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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".