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Record W1997715245 · doi:10.3899/jrheum.120259

Future Trends in Research in Psoriatic Arthritis

2012· article· en· W1997715245 on OpenAlexaffvenue
D. Gladman

Bibliographic record

VenueJournal of Rheumatology Supplement · 2012
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsUniversity Health NetworkToronto Western Hospital
Fundersnot available
KeywordsMedicinePsoriatic arthritisDiseaseBiomarkerArthritisIntensive care medicinePathologyInternal medicine

Abstract

fetched live from OpenAlex

Major advances have taken place in the study of psoriatic arthritis (PsA) in the past several decades. Future trends in research will likely be based on these advances and will span a wide spectrum of activities including further refinement of disease definition and particularly disease pattern. More precise definitions for axial and peripheral disease and in particular arthritis mutilans will be necessary for further genetic and biomarker studies. Early definition of PsA is crucial. Future research will concentrate on identifying genetic and other biomarkers for early diagnosis, disease expression, disease progression, and comorbidities. Newer therapies will be developed as well.

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)0.037
metaresearch head score (Gemma)0.032
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.037
Threshold uncertainty score0.197

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0370.032
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0050.006
Science and technology studies0.0010.003
Scholarly communication0.0060.010
Open science0.0020.002
Research integrity0.0100.009
Insufficient payload (model declined to judge)0.0160.005

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 head0.059
GPT teacher head0.389
Teacher spread0.330 · 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
GenreReview

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

Citations4
Published2012
Admission routes2
Has abstractyes

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