Assessment of the prevalence of Subclinical Mastitis through two on-farm tests in dual-purpose livestock system of Colombian Orinoquia
Bibliographic record
Abstract
The assessment of the prevalence of Subclinical Mastitis (SCM) in dairy farms is essential to evaluate the health status of mammary gland. The aim of the study was to assess the prevalence of SCM in dual-purpose livestock systems in Arauca, Colombia, through the analysis the values found on-farm diagnostic California Mastitis Test (CMT) and Electric Conductivity (EC) test. Milk samples were taken from the individual mammary quarters of 481 cows. The cow level prevalence, per affected individual mammary quarters prevalence and the mammary quarter level prevalence were determined according to the values obtained for each test using two methods of analysis. An ANOVA was performed to determine the difference between prevalences. Cohen’s kappa coefficient was used for intertest agreement, and an analysis of sensitivity and specificity. The cow level prevalence was similar between the tests (CMT = 31.4%; EC = 29.7%). The quarter-level prevalence was lower with EC (11.4% vs 14.3%) (p < 0.05). The agreement test between CMT (0) and EC ranged between 0.20 and 0.25. Despite the low agreement found between the tests, they can be useful in determining the health status of the mammary gland in the dual-purpose livestock systems of the Colombian Orinoquia.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".