Short Communication: Associations between chemical composition and physical properties of milk and colostrum with feed efficiency in beef cows
Bibliographic record
Abstract
Montanholi, Y. R., Lam, S., Peripolli, V., Vander Voort, G. and Miller, S. P. 2013. Short Communication: Associations between chemical composition and physical properties of milk and colostrum with feed efficiency in beef cows. Can. J. Anim. Sci. 93: 487–492. Lactogenesis is an energetically demanding process influencing efficiency of feed utilization. Individual energetic expenditure variation may exist in this process and could be accessed through the properties of milk and colostrum in beef cows. Properties of both secretions were analyzed for fat, protein, and lactose contents. Freezing point and somatic cell count were determined in milk and specific gravity and total solids in colostrum. Associations between feed efficiency and milk freezing point, milk lactose content, and colostrum specific gravity were noticed. This link between milk and colostrum properties with feed efficiency could be considered for the improvement of feed efficiency.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.019 | 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".