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Record W2050528164 · doi:10.3899/jrheum.090228

Biologic Therapies for Psoriasis

2009· article· en· W2050528164 on OpenAlexvenueno aff
Catia De Felice, Marco Ardigò, Enzo Berardesca

Bibliographic record

VenueJournal of Rheumatology Supplement · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEfalizumabPsoriasisEtanerceptAdalimumabInfliximabQuality of life (healthcare)Tumor necrosis factor alphaDiseaseDermatologyBiologic AgentsIntensive care medicineImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Psoriasis is a common chronic inflammatory skin disease that may lead to disability and significant effects on patients' quality of life. A challenge in psoriasis management is to use an effective therapy early in the disease course in order to achieve a safe and well tolerated maintenance of remission with an improvement of both skin and joint manifestations. Recent advances in knowledge of the pathogenesis of psoriasis helped develop targeted treatment options that may be effective and well tolerated over long periods of administration, thus improving the patient's quality of life. These novel "biologic" agents specifically target tumor necrosis factor-alpha (infliximab, etanercept, and adalimumab) or T cells (efalizumab).

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.903

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.021
GPT teacher head0.269
Teacher spread0.248 · 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 designNot applicable
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

Citations17
Published2009
Admission routes1
Has abstractyes

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