Diagnosis of clinical cervicitis and vaginitis in dairy cows in relation to various postpartum uterine disorders
Bibliographic record
Abstract
There is poor agreement between clinical findings and results of diagnostic tests in postpartum uterine diseases that may be explained at least in part by the presence of inflammation and infection at sites other than the endometrium. It was hypothesized that clinical cervicitis and vaginitis are components of reproductive tract inflammatory disorders in postpartum dairy cows. A total of 61 postpartum dairy cows were enrolled in a nested case-control design. Periparturient disease occurrence in weeks 1 (1w), 3 (3w), and 5 (5w) postpartum were recorded. Clinical cervicitis was diagnosed in 36.0, 40.1, and 31.1% of cows in 1w, 3w, and 5w postpartum, respectively. Approximately 64% of cows with clinical endometritis in 5w postpartum also had clinical cervicitis (p ≤ 0.05). Prevalence of clinical and cytological vaginitis was 0% in 5w postpartum. Average days open: 110 for healthy cows and 117 for cows with clinical cervicitis (p ≤ 0.001), 145 for cows with clinical cervicitis and clinical endometritis (p < 0.005), and 199 for cows with clinical cervicitis and cytological endometritis (p < 0.001). Contrary to vaginitis, high prevalence of clinical cervicitis and its association with clinical endometritis and longer average days open suggested a substantial role of the condition in postpartum uterine diseases.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".