The development of the GIN‐McMaster checklist extension for guideline adaptation protocol
Bibliographic record
Abstract
Abstract Background To ensure rigour and transparency in guideline adaptation and contextualization processes, standardized tools and methodological principles are needed. However, methodological challenges have been continuously documented in guideline adaptation processes. Objective To develop a guideline international network (GIN)‐McMaster guidelines development checklist (GDC) extension for guideline adaptation. Methods This project follows multiphase iterative approach, including (1) compiling a list of key methodological steps for guideline adaptation, based on scoping reviews of the current knowledge of guideline adaptation; (2) proposing methodological principles for guideline adaptation based on key methodological steps, in parallel to developing the GIN‐McMaster Guideline Development Checklist extension for adaptation (GDC‐adaptation extension) concerning the original checklist and methodological steps for adaptation; (3) iteratively refining the methodological steps through GIN Adaptation working group discussions, and GDC‐adaptation extension items through several rounds of Delphi consensus survey and (4) Public consultation and finalization. For methodological principles, this involves public consultation; for GDC‐adaptation extension, we will conduct user testing through semi‐structured interviews. Finally, we will submit the final outputs to the GIN board and seek final approval. Discussion The identification of the key methodological principles, together with the GIN‐McMaster GDC extension for guideline adaptation and contextualization, will provide clarity in the planning and execution of adaptation, adoption and/or development of recommendations. The aim of the checklist is to improve efficiency and reduce research waste in guideline development while maintaining rigour and transparency.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".