Decreased fertility with increasing parity in lactating dairy cows
Bibliographic record
Abstract
The relationships of parity and progesterone (P4) concentrations during the bred cycle with pregnancy rate (PR) were examined in this study. Breeding records of 163 Holstein heifers and cows (in 1st parity, 2nd parity, and 3rd or 4th parity) from the Uuniversity of British Columbia Dairy Education and Research Centre were used to compare PR among heifers, 1st, 2nd and 3rd/4th parity cows. Blood or milk samples collected from 10 animals of each treatment group were assayed to compare P4 concentrations among treatment groups. Statistical analysis showed that the heifers' first insemination PR (67.9%) was higher (P < 0.05) from 1st parity (42.9%), 2nd parity, (20.0%) and 3rd/4th parity cows (11.9%). P4 concentrations were not significantly different (P > 0.05). Key words: Pregnancy rate, progesterone, parity, cows, heifers
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 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".