Critical Care Capacity During the COVID-19 Pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
From March 20, 2020 to October 31, 2021, 9,096 Ontarians have been admitted to intensive care units (ICUs) with COVID-19 related critical illness. The COVID-19 pandemic has strained Ontario’s critical care system. At the peak of wave 3, the number of patients on ventilators was over 180% of pre-pandemic historical averages. The critical care system was able to accommodate this influx of patients by deferring surgeries and procedures, funding new ICU beds, identifying temporary surge space, team-based care models utilizing redeployed staff, and transferring patients between hospitals. This required effective collaboration and coordination across critical care system. The critical care system does not currently have capacity to accommodate a surge as it did during waves 2 and 3 due to worsening staffing shortages, healthcare worker burnout, and health system recovery efforts. Public health measures to mitigate influxes of critically ill patients are needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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 it