2005): Subclinical mastitis in buffaloes in attock district of Punjab (Pakistan). Pakistan Vet
Bibliographic record
Abstract
Mastitis is the most costly disease of dairy industry throughout the world. Sub-clinical mastitis is not observed by the farmers but results in hidden losses in terms of production. The present study was conducted to determine the quarter wise and animal wise prevalence of sub-clinical mastitis in buffaloes in Attock district of Punjab, Pakistan. Milk samples were collected from apparently mastitis free 1200 quarters of 300 buffaloes. The samples were subjected to Surf Field Mastitis Test (SFMT). The overall quarter wise prevalence was 58.75 percent, while animal wise prevalence was 77.98 percent. The maximum quarter wise prevalence was found to be 16.66 percent in Tehsil Jand, followed by 13.33, 11.67 and 13.33 percent in the tehsils Attock, Pindighaib, and Fateh Jang, respectively. The maximum animal wise prevalence was 82.61 percent in Tehsil Pindighaib, followed by 73.33, 80.00 and 76.00 percent in the tehsils Attock, Jand and Fateh Jang, respectively.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 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".