Canadian College of Medical Geneticists (CCMG) points to consider: resuming genetic services in a pandemic—a summary
Bibliographic record
Abstract
The COVID-19 pandemic has disrupted the provision of genetic care in Canada. With the public health effort to flatten the curve, many clinics have moved to virtual care for select populations of patients while triaging and postponing others. As genetic services are asked to gradually resume, a roadmap is needed to ensure clinical care decisions for at-risk patients are transparent and equitable, that postponed care is resumed and that patients with or waiting for a genetic diagnosis are not disproportionately affected or abandoned.The purpose of this document is to highlight the guiding ethical principles and stakeholder considerations in resuming genetic services to help guide the competing needs going forward of both limiting exposures while maintaining high-quality care. Considerations highlighted are (1) environment of practice, (2) nature of consult, (3) patient factors, (4) provider factors, and (5) laboratory factors. The intended users are those providing genetic care in a Canadian context with the recognition that there are clinic-specific and regional variations that will influence decision-making. While specific to the Canadian context, the ethical principles used to guide these decisions would be relevant for consideration in other jurisdictions.
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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 | 0.010 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.012 | 0.016 |
| Insufficient payload (model declined to judge) | 0.009 | 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".