MétaCan
Menu
Back to cohort
Record W3100990027 · doi:10.1016/s1473-3099(20)30474-6

Validating clinical practice guidelines for the management of children with non-blanching rashes in the UK (PiC): a prospective, multicentre cohort study

2020· article· en· W3100990027 on OpenAlexfundno aff
Thomas Waterfield, Juli-Ann Maney, Derek Fairley, Mark D Lyttle, James McKenna, Damian Roland, Michael Corr, Lisa McFetridge, Hannah Mitchell, Kerry Woolfall, Fiona Lynn, Bethany L. Patenall, Michael D. Shields, Amy Kitching, Matthew Rotheram, Gisela Robinson, Paula Brassey, Stuart Hartshorn, Rachel Wane, Jo Dangerfield, Michael T. Hayes, Rebecca McFarlane, Helen Armstrong, Sally Smith, Carl VanHeyningen, Esther Wilson, Lisa Kehler, Christopher Gough, Fraser Scott, Claire Backhouse, Sylvester Gomes, Darryl Wood, Julie‐Ann Maney, Graham Johnson, Steven Foster, Ben Bloom, Andrew Lancaster, Sebastian Gray, Shammi Ramlakhan, Sharryn Gardner, Sharon Floyd, Chris Cleaver, Susan MacFarlane, Claire L. Bell, Jane Bayreuther, Asim Ijaz, Natalie Rogers, Sarah Wilson, Sarah Diment, Caroline Boulind, Kathryn Allison, Bethany Petenall

Bibliographic record

VenueThe Lancet Infectious Diseases · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBacterial Infections and Vaccines
Canadian institutionsnot available
FundersQueen's UniversityPublic Health AgencyQueen's University Belfast
KeywordsMedicinePediatricsRashGuidelineProspective cohort studyCohortInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.052
GPT teacher head0.369
Teacher spread0.317 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2020
Admission routes1
Has abstractno

Explore more

Same venueThe Lancet Infectious DiseasesSame topicBacterial Infections and VaccinesFrench-language works237,207