DETECTION OF SUBCLINICAL MASTITIS IN A DAIRY FARM IN BENI-SUEF CITY, EGYPT
Bibliographic record
Abstract
A total of 116 quarter milk samples were collected aseptically from apparently healthy udders of 29 cows in a dairy farm in Beni-Suef city, Egypt; for detection of subclinical mastitis using California mastitis test (CMT), somatic cell count (SCC), chemical and microbiological examination. Thirteen cows (44.83%) were subclinically mastitic with 27 mastitic quarters (23.28%).The scores of CMT showed 11 quarters (40.74%) as +1 and 16 quarters (59.26%) as +2. The SCC of fore left (FL) quarter milk samples was 4.3×105±1.2×105, while of fore right (FR) quarter milk samples was 3.8×105 ±1.1×105, but for SCC of hind left (HL) quarter milk samples was 2.4×105±9.5×104 and SCC of hind right (HR) quarter milk samples was 2.2×105±7.9×104. The isolated micro-organisms from the examined milk samples were Staphylococcus aureus, Coagulase negative Staphylococci (CNS), Streptococcus spp , E.coli and Aspergillus fumigatus. The present study assured that the indirect tests of subclinical mastitis are more suitable for selecting cows with intramammary infections for subsequent bacteriological sampling.
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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 | 0.000 |
| 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".