Describing frameworks that may be adapted to a Canadian national surveillance of antimicrobial resistance from dogs & cats: Scoping review protocol
Bibliographic record
Abstract
This scoping review will assess the literature to 1) identify existing systems or frameworks for antimicrobial resistance (AMR) surveillance from companion animals, 2) review the feasibility of these existing systems for a Canadian national program for surveillance of AMR from companion animals, and 3) identify existing disease surveillance systems for companion animals that could be adapted for Canadian national surveillance of AMR from these species. Addressing gaps in AMR surveillance from companion animals is essential in working towards a comprehensive One Health approach to addressing the overall issue of AMR in Canada.
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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 | 0.202 | 0.233 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.007 | 0.016 |
| Bibliometrics | 0.038 | 0.036 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.009 | 0.016 |
| Research integrity | 0.011 | 0.007 |
| Insufficient payload (model declined to judge) | 0.052 | 0.012 |
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".