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Record W2274245204

Sustained improvement in clinical measures of psoriatic arthritis in infliximab-treated patients: 1 year results from impact 2

2007· article· en· W2274245204 on OpenAlexaboutno aff
Gerald G. Krueger, Dafna D. Gladman, E Boling, Evan Siegel, D Halter, Piet Geusens, Kurt de Vlam, Bruce Kirkham, Anna Beutler, Cynthia Guzzo, B. Zhou, L T Dooley, Philip J. Mease

Bibliographic record

VenueDocument Server@UHasselt (UHasselt) · 2007
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsoriatic arthritisGerontologyArthritisInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Univ Calif San Diego, Div Rheumatol Allergy & Immunol, La Jolla, CA 92093 USA. Univ Erlangen Nurnberg, Erlangen, Germany. Univ Utah, Hlth Sci Ctr, Dept Dermatol, Salt Lake City, UT USA. Toronto Western Hosp, Toronto, ON M5T 2S8, Canada. Univ Massachusetts, Sch Med, Worcester, MA USA. Ctr Rheumatol & Bone Res, Wheaton, IL USA. Houston Inst Clin Res, Houston, TX USA. Univ Hasselt, Diepenbeek, Belgium. Univ Hosp, Maastricht, Netherlands. Univ Hosp Leuven, Louvain, Belgium. Guys Hosp, Dept Rheumatol, London SE1 9RT, England. Centocor Res & Dev Inc, Malvern, Worcs, England. Swedish Med Ctr, Seattle, WA USA.

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)0.002
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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.323
Teacher spread0.303 · 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 designNon-randomized trial
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

Citations2
Published2007
Admission routes1
Has abstractyes

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