Risk of New Intramammary Infections during the Dry Period in Holstein Dairy Cattle Enrolled in the CBMRN National Cohort of Dairy Farms
Bibliographic record
Abstract
Intramammary infections acquired during the dry period are difficult to diagnosis and tend to lead to decreased production in the subsequent lactation. In addition, the use of dry cow therapies (DCT) have virtually eliminated major pathogens, such as Streptococcus agalactiae. However, use of dry cow therapy or teat sealants may have questionable efficacy against other pathogens. Selective dry cow therapy, based on farm- or cow-specific pathogen profiles, tend to decrease usage of antimicrobial products. However, to generate farm-specific pathogen profiles, knowledge of incidence of intramammary pathogens is needed. The objectives of this observational study were to determine the incidence of new intramammary infections (NIMI) in dairy cattle during the dry period and risk factors associated with NIMI incidence risk.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".