Immunoglobulin G, white blood cell, and fibrinogen concentrations among dairy cows with and without endometritis during transition period
Bibliographic record
Abstract
Postpartum reproductive performance closely depends on uterine health. Under normal circumstances, almost 100% of cows haveuterine contamination within first 2 weeks after calving. Whereas the innate immune and reproductive systems usually eliminatemost offending microbes, persistent infection still reportedly occurs in ~ 20% of postpartum cows. Our purpose was to estimateconcentrations of systemic immune indicators (IgG, white blood cells, and fibrinogen) during the transition period in dairy cowswith and without endometritis. Fifty-nine multiparous cows were systematically and consecutively enrolled during the dry periodand examined 6 times from 40 days before to 40 days after calving. Cows in the diseased group (n = 11) were identified based on4 criteria (presence of Trueperella pyogenes grade > 2 in the uterus, clinical endometritis, subclinical endometritis, and cervicitis).Cows in the control group (n = 11) were negative for all 4 criteria. Prevalence of Trueperella pyogenes, clinical endometritis, subclinicalendometritis, and cervicitis was 25, 16, 23, and 31%, respectively. Concentrations of IgG, white blood cells, and fibrinogen didnot change over the period or vary among control and diseased cows. In conclusion, systemic indicators of inflammation were notgood markers for diagnosing or monitoring endometritis in postpartum dairy cows.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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 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".