Lives and money: Understanding the true cost of sepsis in Canada
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
Lives and money: Understanding the true cost of sepsis in Canada Kali Barrett, Victoria Chechulina, and Fatima Sheikh discuss the economic burden of sepsis in Canada and the economic rationale for implementing coordinated, national strategies to combat this often-overlooked disease. Sepsis is a global health threat, responsible for a significant burden of deaths and disability in all economies. In Canada, this challenge is being addressed in part by Sepsis Canada, a National Research Network funded by the Canadian Institutes of Health Research (CIHR). The network was established to build the research infrastructure needed to enhance our understanding of sepsis, identify effective interventions, and implement strategies to reduce the illness and death it causes. Previously, members of Sepsis Canada have underscored how robust research infrastructure is critical for driving innovation and supporting high-quality scientific studies. These efforts are also central to developing a cohesive National Action Plan against sepsis, an essential step for coordinating research, clinical care, and public health initiatives. (1)
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 | 0.000 | 0.000 |
| 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 it