Determination of the efficacy of monensin capsule (continuous release capsule) on metabolic parameters in transition dairy cows
Bibliographic record
Abstract
Monensin is an ionophore antibiotic that changes the population of rumen bacteria. The aim of this study was to determine the effects of monensin controlled capsule administered 3 wk before calving on blood metabolites (serum beta-hydroxybutiric acid (BHBA), cholesterol (CHOL), urea, creatinine (CREA), gamma glutamyl transferase (GGT), aspartate aminotransferase (AST), total protein (TP), phosphorus (P), magnesium (Mg+), calcium (Ca++), glucose (GLU) and plasma non-esterified fatty acids (NEFA) concentration) and milk yield in the pre and post-calving term. 50 Holstein-Friesian cows were selected from the same flock. Blood samples were taken 3 weeks before the expected calving date and during weeks 1, 2, 4, 6 and 8 post calving. Cows were divided into two group: a study group (Group M, n:40) and a control group (Group C, n: 10). The group M orally received a cylindrical device (Kexxtone, ELANCO Animal Health, Guelph, ON, Canada) and the group C received no treatment. BHBA and NEFA was lower (P˂0,.05) in group M compared with group C in the 6 and 8 week post-calving. GLU was higher (P˂0.05) in group M compared with group C in the 4 week post-calving. Urea was higher (P˂0.05) in group M compared with group C in the 1 week post-calving. There was no statistically difference between two groups (P˂0.05) in milk yields. Although milk yield was similar in both groups, the change in concentration of BHBA, NEFA, GLU and urea showed that monensin CRC could be as a glycogenic precursor.
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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 | 0.000 |
| 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) | 0.000 | 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 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".