Organizational Model and Process for Clinical Best Practice in Rehabilitation and Complex Continuing Care
Bibliographic record
Abstract
Toronto Rehabilitation Institute developed its Clinical Best Practice Model and Process (TR-CBPMP) to facilitate a systematic and consistent approach to best practice with the goal of shortening the path between best knowledge and clinical care and linking this process to patient needs and outcomes. The TR-CBPMP guides clinicians, inter-professional teams, administrators and leaders in identifying patient needs, reviewing present practice, determining best practice priorities, analyzing gaps, preparing for and implementing best practice, evaluating patient-based outcomes and sustaining the best practice. The TR-CBPMP has been used successfully to develop program-specific, profession-specific and organization-wide best practices.
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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 | 0.198 | 0.174 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.011 | 0.029 |
| Scholarly communication | 0.023 | 0.011 |
| Open science | 0.007 | 0.016 |
| Research integrity | 0.011 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".