Effect of Reproductive Disorders and Parity on Repeat Breeder Status and Culling in Quebec Dairy Cows
Bibliographic record
Abstract
Cows that fail to conceive on several attempts are a problem for the producer. Repeat breeder (RB) cows fall into this category. The economic losses associated with RB cows are considerable: increased veterinary expenses, increased insemination costs, reduced productivity and losses due to involuntary culling. Diseases of the reproductive system lead to a reduction in fertility. The magnitude of the effect on reproductive performance depends on the severity of the condition, the timing of the condition and herd control practices. The large number of uterine problems and the great variation in their clinical presentation complicates diagnosis. One way of simplifying the classification of conditions is to view clinical metritis, endometritis and pyometritis as variations of the same disease and to combine them into one diagnostic category: metritis complex. Dystocia, retained placenta (RP), metritis, and endometritis result from mechanical and/or functional damage to the uterus and significantly decrease fertility.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| 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 teacher head, 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".