Evaluation of a handheld device for measurement of β-hydroxybutyrate concentration to identify prepartum dairy cattle at risk of developing postpartum hyperketonemia
Bibliographic record
Abstract
OBJECTIVE: To evaluate the use of a handheld device for measurement of β-hydroxybutyrate (BHBA) concentration to identify prepartum dairy cattle at risk of developing hyperketonemia during the first week after parturition. DESIGN: Cross-sectional study. Animals-210 prepartum dairy cows from 6 herds. PROCEDURES: A blood sample was collected from each cow 3 to 9 days before its expected calving date. β-Hydroxybutyrate concentration was immediately measured with a handheld device. Serum was harvested from the remaining sample and submitted to a laboratory for measurement of BHBA and nonesterified fatty acid (NEFA) concentrations. β-Hydroxybutyrate concentration determined with the handheld device was compared with that determined by laboratory methods. The association between prepartum BHBA concentration and the development of hyperketonemia (BHBA concentration, ≥ 1.2 mmol/L) during the first week after parturition was determined. The agreement between prepartum BHBA and NEFA concentrations for identification of cows at risk of developing postpartum hyperketonemia was evaluated. RESULTS: β-Hydroxybutyrate concentration determined by the handheld device was moderately correlated with that determined by laboratory methods. Cows with a prepartum BHBA concentration ≥ 0.6 mmol/L were 2.2 times as likely to develop hyperketonemia within 1 week after parturition as were cows with a prepartum BHBA concentration < 0.6 mmol/L. There was substantial agreement between prepartum BHBA and NEFA concentrations for identification of cows at risk of developing postpartum hyperketonemia. CONCLUSIONS AND CLINICAL RELEVANCE: Results indicated the handheld device was a valid tool for measurement of BHBA concentration in prepartum dairy cattle, and measurement of prepartum BHBA concentration may be helpful for identifying cows at risk of developing postpartum hyperketonemia.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".