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Record W4405614747 · doi:10.1111/jdv.20516

Certolizumab pegol for plaque psoriasis in women of childbearing potential, pregnant or breastfeeding in clinical settings: One‐year outcomes from the international noninterventional CIMREAL study

2024· letter· en· W4405614747 on OpenAlexafffundabout
Tom Hillary, Lovegrove Fiona, Evangelia Papadavid, Luca Bianchi, Alberto Barea, Fierens Frederik, Jin Hee, Paulette Williams, Asadullah Khusru

Bibliographic record

VenueJournal of the European Academy of Dermatology and Venereology · 2024
Typeletter
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsWestern University
FundersLEO PharmaUCB PharmaBausch HealthCelgeneBiogenSanofiAmgenPfizerEli Lilly and CompanyBristol-Myers Squibb
KeywordsMedicineCertolizumab pegolBreastfeedingPlaque psoriasisObstetricsPsoriasisFamily medicinePediatricsInternal medicineDermatologyAdalimumab

Abstract

fetched live from OpenAlex

sponsorship: The authors and UCB express their gratitude to the patients, investigators and staff involved in this study. Thanks to Dr. Etomi Oseme for valuable insights and to SreeHarsha B. and Dhanya M. from Enago Life Sciences, India for medical writing support. (UCB Pharma, UCB)

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.348
Teacher spread0.297 · 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 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

Citations0
Published2024
Admission routes3
Has abstractyes

Explore more

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