A temporal study of Salmonella serovars in animals and humans in Alberta
Bibliographic record
Abstract
This thesis is an investigation of the temporal relationship between ' Salmonella' serovars in animals and humans. Passive laboratory-based surveillance data from 1990 to 2001 were obtained from Alberta Agriculture Food and Rural Development, and Alberta Health and Wellness. Nine hundred and sixty-one isolates from chickens, 418 from cattle, 108 from pigs, and 9,188 from humans were analyzed to identify common serovars, trends, and the presence of temporal clusters. 'Salmonella' Typhimurium, Hadar, Heidelberg, and Thompson were in the top five serovars from human and non-human sources. Trends of 'Salmonella' Typhimurium, Heidelberg, and Hadar showed similar patterns. Clusters were observed in 7 of 15, 5 of 5, and 23 of 32 serovars from chickens, cattle, and humans, respectively. Clusters of 'Salmonella' Heidelberg and Typhimurium var. Copenhagen occurred concurrently in chickens and humans. Inferences made from clustering patterns, and limitations and benefits of passive surveillance systems are discussed.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| 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".