Bibliographic record
Abstract
Santschi, D. E. and Lefebvre, D. M. 2014. Review: Practical concepts on short dry period management. Can. J. Anim. Sci. 94: 381–390. Increased production of dairy cows over the past years has triggered interest in reviewing optimal duration and management for the dry period. Results from recent studies suggest reduced early lactation negative energy balance, reduced ketosis, improved reproduction and no negative effects on production for multiparous cows. With regard to primiparous cows, production following lactation is reduced, but compensated for by the additional end of lactation milk. Reduced dry period length does not impair udder health, but is associated with increased risk of antibiotic residues in early lactation in the case of an early calving. Although the literature is scarce, calf health and immunity transfer are not affected by a short dry period. The objectives of the present review are to summarize results from recent trials and propose avenues for further research on short dry period man...
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".