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Record W35700313 · doi:10.1186/cc10708

Corticosteroids for critically ill patients: an international survey of intensivists

2012· article· en· W35700313 on OpenAlexaff
François Lamontagne, Neill K. J. Adhikari, KK Koo, François Lauzier, KE Burns, Ivor S. Douglas, AF Turgeon, Hallie J. Quiroz, Yannick Poulin, Karen Choong, Niall D. Ferguson, Michelle E. Kho, Mark Duffett, C. A. Chant, Olivier Lesur, MO Meade

Bibliographic record

VenueCritical Care · 2012
Typearticle
Languageen
FieldMedicine
TopicAdrenal Hormones and Disorders
Canadian institutionsUniversité LavalWestern UniversityMcMaster UniversityUniversity of TorontoUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineCritically illIntensive care medicineCritical illnessIntensivistEmergency medicineIntensive care unit

Abstract

fetched live from OpenAlex

We surveyed intensivists to evaluate their stated use of systemic steroids in the ICU. The efficacy of steroids in septic shock and ARDS remains uncertain and clinicians' perceptions of competing indications and contraindications may jeopardize future randomized controlled trials (RCT). Knowledge of current practice will inform the design of future RCTs addressing the efficacy of systemic steroids in septic shock and ARDS.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.048
GPT teacher head0.371
Teacher spread0.324 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2012
Admission routes1
Has abstractyes

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