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Record W4392304622 · doi:10.3310/hdkv1008

Use of selective gut decontamination in critically ill children: PICnIC a pilot RCT and mixed-methods study

2024· article· en· W4392304622 on OpenAlexaff
Alanna Kathleen Brown, Paloma Ferrando-Vivas, M Popa, Gema Milla de la Fuente, John Pappachan, Brian H. Cuthbertson, Laura Drikite, Richard Feltbower, Theodore Gouliouris, Isobel Sale, Rob Shulman, Lyvonne N. Tume, John Myburgh, Kerry Woolfall, David A Harrison, Paul Mouncey, Kathy Rowan

Bibliographic record

VenueHealth Technology Assessment · 2024
Typearticle
Languageen
FieldMedicine
TopicNosocomial Infections in ICU
Canadian institutionsHealth Sciences CentreSunnybrook Health Science Centre
FundersHealth and Social Care Delivery ResearchNational Health and Medical Research CouncilHealth Technology Assessment ProgrammeNational Institute for Health and Care ResearchUniversity of LeedsDepartment of Health and Social CareMedical Research Council
KeywordsMedicinePicnicPopulationRandomized controlled trialIntensive careIntensive care unitPsychological interventionNeonatal intensive care unitIntensive care medicineEmergency medicinePediatricsSurgeryNursingEnvironmental health

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.033
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.037
GPT teacher head0.472
Teacher spread0.435 · 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 designRandomized trial
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

Citations4
Published2024
Admission routes1
Has abstractyes

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