Prevalence of subclinical mastitis in cattle in and around Bikaner district of Rajasthan
Bibliographic record
Abstract
Lactating cows (n=100) were examined for subclinical mastitis (SCM) by California Mastitis Test (CMT) and cultural examination during the period from December, 2018 to December, 2019. On the basis of CMT; the prevalence of SCM was 42% and 24.50% on animal and quarter basis and on the basis of cultural examination; the prevalence was 51% and 29.75% on animal and quarter basis, respectively. Highest prevalence of SCM was observed in right hind quarter (45%) followed by left hind quarter (30%), right fore quarter (23%) and left fore quarter (21%). Maximum numbers of cows (72.22%) were affected with SCM in Vth parity, followed by 64.00, 63.63, 58.33, 31.57 and 13.33% in IVth, VIth, IIIrd, IInd and Ist parity, respectively.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".