A INCIDÊNCIA DE MASTITE EM REBANHOS DE VACAS LEITEIRAS
Bibliographic record
Abstract
O presente estudo teve como objetivo avaliar a incidência da mastite bovina subclínica e clínica, em dois rebanhos leiteiros situados nos municípios de Colatina e João Neiva. Para tal, foram avaliadas 160 amostras de leites provenientes de propriedades utilizadoras de ordenha manual e mecanizada. Onde foi realizado o teste de caneca de fundo preto e o teste de CMT como métodos de diagnóstico da mastite. Na propriedade com ordenha manual, 27,5% das amostras testaram positivos para mastite clínica e subclínica, já na propriedade com ordenha mecanizada, 31,25% testaram positivo para a doença. Conclui-se que as duas propriedades apresentam alta taxa de contaminação em seus rebanhos, como consequência de falhas na execução no manejo de ordenha e nas medidas preventivas como higienização de tetos, pré-dipping e pós-dipping.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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; both teacher heads agree on what is shown here.
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".