Prevalence of sub clinical mastitis (SCM) in she buffaloes at Surajpur district of Chhattishgarh, India
Bibliographic record
Abstract
Present investigation was carried out on randomly selected 120 she buffaloes in dairy farms and local farmers of different places, villages of Surajpur, with the objective to study the prevalence of subclinical mastitis in she buffaloes at adjoining areas of Surajpur. The prevalence of the subclinical mastitis was studied by screening of she buffaloes correlated with age, breed, stage of lactation and quarter wise distribution. The overall prevalence rate was 68.33%. The rate of prevalence of SCM was the highest between the age group of 9 and 11 years (90.32%). Breed wise prevalence of SCM was found maximum in crossbred (72.30%) followed by indigenous (65.62%) and nondescript (47.23%) breed. The prevalence of SCM was found to be the highest in mid lactation (76.47%) followed by early (67.27%) and late (61.29%) lactation. Quarter wise study revealed that the left hind quarters (30.83%) were found to be the most prone for sub clinical infection followed by right fore (19.16%), left fore (10%) and the least affected was right hind quarter (8.33%).
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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 | 0.000 |
| 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".