Clinical practice guideline interpretation: Prevent Falls and Reducing Injury From Falls (Fourth Edition) by Registered Nurses Association of Ontario in 2017
Bibliographic record
Abstract
With the increasing aging of the population in China, the falls of the elderly have attracted wide attention. In 2017, the Registered Nurses Association of Ontario (RNAO) in Canada developed the guidelines for clinical practice of Prevent Falls and Reducing Injury From Falls (Fourth Edition) , which provide a reference for clinical work. This guideline describes the identification of high-risk fallers, the assessment of risk factors for falls, the formulation of falls prevention-related nursing plans and post-treatment measures for falls. This guideline is interpreted for domestic nurses and patient caregivers to learn and apply to guide clinical practice. Key words: Falls; Clinical practice; Guidelines; Interpretation
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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 | 0.013 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".