Best Practice Recommendation Updates 2024: Methodology For Developing Foundations Of Best Practice For Skin and Wound Management
Bibliographic record
Abstract
The Best Practice Recommendations are the most popular resource developed by Wounds Canada and are used by frontline clinicians, students and policy makers to inform their practice. The Best Practice Recommendation Updates 2024 build on the work of previous authors and editorial teams and incorporate expert opinion, clinical experience and the latest available research. This article summarizes the methodology used in the development of the Recommendations.
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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 | 0.286 | 0.772 |
| Meta-epidemiology (narrow) | 0.002 | 0.004 |
| Meta-epidemiology (broad) | 0.004 | 0.007 |
| Bibliometrics | 0.022 | 0.026 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.025 | 0.010 |
| Open science | 0.009 | 0.012 |
| Research integrity | 0.016 | 0.020 |
| Insufficient payload (model declined to judge) | 0.030 | 0.023 |
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".