Relationships Between Milk Acetone and Clinical Metabolic Disease in Dairy Herds
Bibliographic record
Abstract
Negative energy balance in the post-partum dairy cow, as indicated by elevated blood and milk ketone levels, has been linked to decreased milk production and increased metabolic disease such as clinical ketosis and displaced abomasum. If groups of cows in negative energy balance could be identified in a cost-effective manner, management could intervene in a timely fashion to correct the problem. A collaborative project involving Foss Electric and Ontario Dairy Herd Improvement (DHI) was established to evaluate a prototype milk acetone analyzer that could test DHI milk samples for the presence of acetone. The objective was to investigate relationships between test-day milk acetone and incidence of clinical ketosis (Ket), displaced abomasum (DA) and lameness (Lame). The final data set included 199 herds, which had all milking cows tested for acetone on every DHI test date from January to September 1999. Included were 60,257 test day samples from approximately 14,000 cows. These herds recorded all occurrences of DA, Ket and Lame.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".