A case-control seroepidemiological investigation of Neospora caninum in Ontario dairy herds
Bibliographic record
Abstract
This thesis evaluated three bovine ELISAs for 'Neospora caninum ' (NC) detection, surveyed the NC seroprevalence, examined the impact of infection on milk production and investigated associations with related abortions in Ontario herds. Five laboratories using three NC ELISAs were found to agree well with an IFAT. Cut-off selection and quality assurance impacted performance. In 88 case-control herds, median seroprevalence was 15.0% and significantly higher in NC-problem herds than non-NC-problem herds (6.1%) or low prevalence herds (4.0%). Milk production in positive cattle from abortion-problem herds was 205kg-276kg/cow/305-days higher than seronegative cattle ('P' = 0.04). Seropositive cattle, and culled seropositive cattle from representative herds produced 151kg/cow/305-days more ('P' = 0.10), and 193kg/cow/305-days more ('P' = 0.04), respectively. Positively associated with NC-related abortions were: herd seroprevalence, exposure to dogs, dogs defecating in feed mangers, and the rates of retained fetal membranes and cows returning to estrus after pregnancy determination. Negatively associated were: observations of stray cats and wild canids, and housing heifers on loafing packs.
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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 | 0.002 |
| 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 | 0.000 | 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".