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Record W4407859111 · doi:10.1111/jdv.20555

Mission impossible? Caveats in interpreting and comparing long‐term efficacy in biologic studies for moderate‐to‐severe plaque psoriasis

2025· letter· en· W4407859111 on OpenAlexafffund
Richard G. Langley, Alexander Egeberg, Melinda Gooderham, Robert Bissonnette, Julien Ringuet, Sunil Kalia, Laura Park‐Wyllie, Nastaran Abbarin, Diana Tran, Anthony Zara, Ya‐Wen Yang, Bruce Strober

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2025
Typeletter
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsEVERSANA (Canada)University of British ColumbiaProbity Medical ResearchCentre de Recherche Dermatologique du Québec MétropolitainInnovaderm (Canada)Queen's UniversityDalhousie University
FundersJanssen Canada
KeywordsMedicinePlaque psoriasisPsoriasisTerm (time)DermatologyDermatologic agentsIntensive care medicineAstronomy

Abstract

fetched live from OpenAlex

The data that support the findings of this study are available from the corresponding author upon reasonable request.

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)0.376
metaresearch head score (Gemma)0.661
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.624
Threshold uncertainty score0.770

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3760.661
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.004
Bibliometrics0.0030.004
Science and technology studies0.0020.010
Scholarly communication0.0080.006
Open science0.0060.004
Research integrity0.0110.017
Insufficient payload (model declined to judge)0.0040.002

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 head0.049
GPT teacher head0.313
Teacher spread0.264 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
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

Citations2
Published2025
Admission routes2
Has abstractyes

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Same venueJournal of the European Academy of Dermatology and VenereologySame topicPsoriasis: Treatment and PathogenesisFrench-language works237,207