The Incidence of Postpartum Metritis and Retained Placenta in Cattle and Buffalo Cows in some Villages Around Baghdad
Bibliographic record
Abstract
This survey aimed to investigate the incidence rate of some reproductive problems especially retained placenta and metritis in cattle and buffalo cows to design appropriate manners for correction and treatment of such disorders of those two important animals in Iraq. A field survey was carried out on 257 cattle cows during 2011 and 290 during 2012 and 383 local water buffalo cows (Bubalus bubalis), during 2011 and 404 during 2012 in some villages around Baghdad (Al-Fudalia, 7 Nisan and Basmaia) where animals were reared. A complete data about case history, owner complains, clinical examinations for reproductive status, were documented by private clinics during 2011 - 2012. Results revealed that retained placenta percentage in cattle was 12.84, 12.41% during 2011, 2012 respectively, whereas it was 12.53, 12.62% during 2011, 2012 respectively in buffalo cows, in the case of uterine infections percentages, buffalo exhibited the highest percentages (40.46,37.87 %) during 2011, 2012 respectively in the comparison with cattle which showed 35.40, 35.17 % during 2011,2012 respectively. Highly significant differences (p ≤ 0.01) between species were observed yearly and during some months during the years of study. We concluded that management programs differences and environmental changes may lead to monthly and yearly differences in reproductive disorders capability.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| 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".