Canadian Task Force on Preventive Health Care
Bibliographic record
Abstract
In 2010 the Canadian Task Force on Preventive Health Care (CTFPHC) was reconstituted through a funding agreement between the Public Health Agency of Canada (PHAC) and the Canadian Institutes of Health Research. Its mandate is to develop and disseminate clinical practice guidelines for primary and preventive care, based on systematic analysis of scientific evidence. The CTFPHC (formerly the Canadian Task Force on the Periodic Health Examination) was originally established in 1976. The initial series of recommendations, the first of its kind, was published as a 61-page peer-reviewed paper in the CMAJ in 1979.1 Subsequently, in 1994, the CTFPHC published 81 of its recommendations in a compilation called The Canadian Guide to Clinical Preventive Health Care.2 The CTFPHC has had an international reputation for providing outstanding guidance for practitioners using rigorous, high-quality methods. Its reports have been used by many agencies around the world, including the US Preventive Services Task Force (which developed its approach based on CTFPHC methods). Originally, funding was provided by a partnership between the federal and the provincial and territorial governments, but when funding expired in 2005, the CTFPHC was disbanded. Since then, the primary care community has been without a national preventive care guideline group, although many local and provincial organizations have partly filled the void.
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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 | 0.025 | 0.052 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.011 | 0.013 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.035 | 0.010 |
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".