Pro/con clinical debate: steroids are a key component in the treatment of SARS. Con: No, steroids are not a key component of the treatment regimen for SARS.
Bibliographic record
Abstract
SARS (severe acute respiratory syndrome) proved an enormous physical and emotional challenge to frontline health care workers throughout the world in late 2002 through to mid 2003. A large percentage of patients (many being health care workers themselves) became critically ill. Unfortunately, clinicians caring for these individuals did not have the advantage of previous experience or research data on which to base treatment decisions. As a result, at least early in the outbreak, a 'best guess approach' and/or anecdotes drove therapy. In many centres systemic steroids, which carry many potential downsides, became a mainstay of therapy. In this issue of Critical Care, two groups that have frontline experience of SARS debate the role of steroids. Let us hope and pray together that we never have the patient population needed to resolve the questions the two sides raise.
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.
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 | 0.099 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.012 | 0.019 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.054 | 0.058 |
| Insufficient payload (model declined to judge) | 0.011 | 0.007 |
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".