Supplementary material for "Herd-level prevalence of bovine leukemia virus, Salmonella Dublin and Neospora caninum in Alberta, Canada, dairy herds using ELISA on bulk tank milk samples"
Bibliographic record
Abstract
Supplementary materials for the manuscript titled, "Herd-level prevalence of bovine leukemia virus, Salmonella Dublin and Neospora caninum in Alberta, Canada, dairy herds using ELISA on bulk tank milk samples" by Shaukat et al. 2024. It includes, Fig S1, Fig S2, Fig S3, Fig S4, Fig S5, and Fig S6. Supplementary Figure S1. Frequency distribution of Percentage Inhibition (PI%) of ELISA detecting antibodies against bovine leukemia virus in bulk tank milk samples from Alberta dairy herds across 4 timepoints. The red dotted lines indicate the cut-off values of ≥30 and <20% for categorizing positive and negative samples, respectively. Supplementary Figure S2. Spread of the Percentage Inhibition (PI%) of ELISA detecting antibodies against bovine leukemia virus in bulk tank milk samples from Alberta dairy herds for positive, negative and suspected samples across 4 timepoints. Supplementary Figure S3. Frequency distribution of Percent Positivity (PP%) of ELISA detecting antibodies against Salmonella Dublin in bulk tank milk samples from Alberta dairy herds across 4 timepoints. The red dotted line indicates the cut-off value of ≥35% for categorizing positive and negative samples. Supplementary Figure S4. Spread of the Percent Positivity (PP%) for ELISA detecting antibodies against Salmonella Dublin in bulk tank milk samples from Alberta dairy herds for positive and negative samples across 4 timepoints. Supplementary Figure S5. Frequency distribution of Sample to Positive Ratio (S/P) of ELISA detecting antibodies against Neospora caninum in bulk tank milk samples from Alberta dairy herds across 4 timepoints. The red dotted line shows the cut-off value of ≥0.50 for categorizing positive and negative samples. Supplementary Figure S6. Spread of the sample to positive ratios for ELISA detecting antibodies against Neospora caninum in bulk tank milk samples from Alberta dairy herds for positive and negative samples across 4 timepoints.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.680 | 0.106 |
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".