The Role of Primary Care in a Pandemic: Reflections During the COVID-19 Pandemic in Canada
Bibliographic record
Abstract
As COVID-19 cases began to rise in Ontario, Canada, in March 2020, increasing surge capacity in hospitals and intensive care units became a large focus of preparations. As part of these preparations, primary care physicians were ready to be redeployed to the hospitals. However, due to the effective implementation of community-wide public health measures, the hospital system was not overwhelmed. As Ontario prepares now for a potential second wave of COVID-19, primary care physicians have an opportunity to consider the full breadth and depth of scope for primary care during a pandemic. From planning to surveillance to vaccination, primary care physicians are positioned to play a unique and vital role in a pandemic. Nevertheless, there are specific barriers that will need to be overcome.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.011 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.010 | 0.019 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".