Risk Factors, Impacts, and Therapy for Endometritis in Dairy Cows
Bibliographic record
Abstract
Endometritis is diagnosed cytologically, as endometrial inflammation, or clinically as purulent or mucopurulent vaginal discharge. Cytological endometritis (CYTO) is based on an increased proportion of polymorphonuclear cells in endometrial cytology. Purulent vaginal discharge (PVD) has only moderate diagnostic agreement with CYTO. The prevalence of CYTO and PVD have been reported to be as high as 53 and 40%, respectively. Reported risk factors for PVD include dystocia, retained placenta (RP), and metritis. Little information is available on the risk factors for CYTO. Cytological endometritis and PVD were shown independently to have detrimental effects on subsequent reproductive performance. Conflicting results have been reported regarding the effect of prostaglandin F2alpha (PGF) on uterine health and reproduction. The hypotheses were that CYTO and PVD would have different risk factors because they represent different reproductive diseases, and that treatment with PGF would mitigate the impact of CYTO and PVD. The objectives of this study were to investigate risk factors and impacts of CYTO and PVD in postpartum dairy cows, and to determine the efficacy of PGF for treating CYTO and PVD and for improving reproductive performance.
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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 | 0.003 |
| 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 | 0.001 | 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".