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Record W4309319238 · doi:10.25251/skin.6.supp.51

Tapinarof Cream 1% Once Daily for Plaque Psoriasis: Pooled Efficacy from Three Phase 3 Trials

2022· article· en· W4309319238 on OpenAlexafffund
Linda Stein Gold, Mark Lebwohl, Robert Bissonnette, Bruce Strober, Anna M. Tallman, Philip M. Brown, Stephen C. Piscitelli, David S. Rubenstein

Bibliographic record

VenueSKIN The Journal of Cutaneous Medicine · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsInnovaderm (Canada)
FundersLEO PharmaEMD SeronoBausch HealthSanofi GenzymeIncyteCastle BiosciencesDermiraUCB PharmaSun PharmaRegeneron PharmaceuticalsHelsinnKiniksa PharmaceuticalsCelgeneSanofiAmgenHelsinn TherapeuticsMeiji Seika PharmaPfizerGaldermaOrtho DermatologicsEli Lilly and CompanyBristol-Myers SquibbGlaxoSmithKline
KeywordsPlaque psoriasisMedicinePsoriasisDermatologyInternal medicine

Abstract

fetched live from OpenAlex

N/A

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)0.004
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.006
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

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 head0.053
GPT teacher head0.315
Teacher spread0.262 · 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
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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueSKIN The Journal of Cutaneous MedicineSame topicPhytochemistry Medicinal Plant ApplicationsFrench-language works237,207