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Record W2110685381 · doi:10.1186/cc2452

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.

2004· article· en· W2110685381 on OpenAlexaff
Charles D. Gomersall, Marcus J Kargel, Stephen E. Lapinsky

Bibliographic record

VenueCritical Care · 2004
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsMount Sinai HospitalCancer Care OntarioUniversity of Toronto
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)RegimenHealth careIntensive care medicinePopulationDiseaseInternal medicineInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.099
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.054
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.099
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0060.017
Scholarly communication0.0120.019
Open science0.0040.005
Research integrity0.0540.058
Insufficient payload (model declined to judge)0.0110.007

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.

Opus teacher head0.085
GPT teacher head0.375
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations26
Published2004
Admission routes1
Has abstractyes

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