Second in the series of shared decision making: a model for shared decision making research, the Ottawa Patient Decision Aids Research Group
Bibliographic record
Abstract
The study of shared decision making (SDM) has been going on in the western countries for many decades, and representative research groups such as the Ottawa Patient Decision Aids Research Group, the Mayo Clinic Shared Decision Making National Resource Center and the National Institute for Health and Care Excellence have been well established. In this paper, the authors reviewed the establishment and mission of the Ottawa Patient Decision Aids Research Group, the theoretical models and conceptual frameworks of decision support and SDM, decision coaching, the International Patient Decision Aid Standards (IPDAS) Collaboration, the development toolkit for PDA and the steps for implementing decision support. This will serve as an introduction of the SDM research to domestic researchers.
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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 | 0.045 | 0.058 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.014 | 0.013 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".