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Record W4391534828 · doi:10.1016/j.jaci.2023.11.268

Topical Treatments for Atopic Dermatitis: Systematic Review and Network Meta-Analysis of Randomized Trials

2024· article· en· W4391534828 on OpenAlexaff
Derek K. Chu, A. Chu, Daniel Rayner, Gordon Guyatt, Juan José Yepes-Núñez, Luis G. Gómez-Escobar, Lucía C. Pérez-Herrera, Juan Pablo Díaz Martinez, Romina Brignardello‐Petersen, Behnam Sadeghirad, Melanie Wong, Renata Ceccacci, Irene X. Zhao, John Basmaji, Margaret MacDonald, Xiajing Chu, Nazmul Islam, Ya Gao, Ariel Izcovich, Rachel Asiniwasis, Mark Boguniewicz, Anna De Benedetto, Korey Capozza, Lina Chen, Kathy Ellison, Winfred Frazier, Matthew Greenhawt, Joey Huynh, Jennifer LeBovidge, Peter Lio, Stephen A. Martin, Monica O’Brien, Peck Y. Ong, Jonathan I. Silverberg, Jonathan M. Spergel, Wendy Smith Begolka, Julie Wang, Kathryn E. Wheeler, Donna D. Gardner, Lynda C. Schneider

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2024
Typearticle
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsUniversity of SaskatchewanWestern UniversityMcMaster University
Fundersnot available
KeywordsAtopic dermatitisMeta-analysisRandomized controlled trialMedicineSystematic reviewDermatologyMEDLINESurgeryInternal medicineBiology

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 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)0.019
metaresearch head score (Gemma)0.048
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.020
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.048
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0200.040
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0030.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.117
GPT teacher head0.426
Teacher spread0.309 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2024
Admission routes1
Has abstractno

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