Salmonella spp. infections in finishing swine in Alberta
Bibliographic record
Abstract
The main objective was to estimate the bacteriological farm prevalence of Salmonella infections on 89 finishing farms in Alberta. Furthermore, the pattern of almonella farm infections over time, distribution within the farm environment and the serotype distribution were investigated. On a farm level, at least one Salmonella positive fecal sample was detected from 51.68% of participating farms. Finishing farms with no positive Salmonella samples on one sampling occasion might have one or more positive samples on other occasions. Classifying a farm based on a single sampling may not be adequate to understand the Salmonella farm status. More than 95% of Salmonella isolates belonged to the serogroups B, C I or D I, while the most frequent serotypes were S. derby, S. infantis and S. typhimurium. A good correlation between serology based on the mix- ELISA and culture based on pen fecal pools was observed on a farm level. High recovery rates from environmental samples suggest that an environment contaminated with Salmonella may contribute to the persistence of Salmonella within a farm.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 | 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".