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Record W3024681092 · doi:10.7573/dic.2020-4-10

Psoriasis, biologic therapy, and the pandemic of the 21st century

2020· editorial· en· W3024681092 on OpenAlexaff
Miguel Nogueira, Ronald Vender, Tiago Torres

Bibliographic record

VenueDrugs in Context · 2020
Typeeditorial
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPandemicMedicinePsoriasisCoronavirus disease 2019 (COVID-19)Intensive care medicineCoronavirusDiseaseSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakImmunologyVirologyInfectious disease (medical specialty)Pathology

Abstract

fetched live from OpenAlex

The pandemic known as coronavirus disease-19 (COVID-19) has quickly spread worldwide, with a significant impact on lives all over the world. The complexity related to the new coronavirus and the clinical syndrome it causes is not yet fully understood. The impact of COVID-19 on patients with psoriasis under biologic agents is continuously being observed in this rapidly changing pandemic. A case-by-case evaluation must be made by dermatologists, and the final decision should be discussed and decided by both the patient and the specialist. Observations reveal that immunosuppressive therapy may have a role in the treatment of this virus, placing emphasis on the scenario of safety through maintenance of therapy with biologic agents, especially when there are no signs or symptoms related to the infection or contact with an infected patient.

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)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0040.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.001
Science and technology studies0.0020.003
Scholarly communication0.0060.004
Open science0.0020.001
Research integrity0.0120.018
Insufficient payload (model declined to judge)0.0070.007

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations9
Published2020
Admission routes1
Has abstractyes

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