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Record W2019026952 · doi:10.3899/jrheum.110393

OMERACT 10 Patient Perspective Virtual Campus: Valuing Health; Measuring Outcomes in Rheumatoid Arthritis Fatigue, RA Sleep, Arthroplasty, and Systemic Sclerosis; and Clinical Significance of Changes in Health

2011· article· en· W2019026952 on OpenAlexvenueno aff
John Kirwan, Annelies Boonen, Mark Harrison, Sarah Hewlett, George A. Wells, Jasvinder A. Singh, Daniel E. Fürst, Robert H. Dworkin

Bibliographic record

VenueThe Journal of Rheumatology · 2011
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRheumatoid arthritisPhysical therapyPerspective (graphical)Patient-reported outcomeClinical trialQuality of life (healthcare)ArthroplastyInternal medicineSurgeryNursing

Abstract

fetched live from OpenAlex

This workshop reviewed progress in a number of areas related to patient perspective outcomes that were not specifically included within other areas of the program. A substantial review of the work of the valuing health outcomes group (the "QALY" working group) with participation and feedback from the plenary audience resulted in guidance to refocus on the use of patient preferences in the elaboration of more robust outcome measures for patient-reported outcomes and life impact measures. Progress and developments in the areas of fatigue and sleep in rheumatoid arthritis, outcome measures in hip and knee arthroplasty clinical trials, and scleroderma were outlined, and the challenge of truly understanding the nature of clinically important improvement was reviewed.

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)0.015
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.985
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0200.003

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 head0.057
GPT teacher head0.318
Teacher spread0.261 · 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.

Study designQualitative
DomainMethods
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

Citations20
Published2011
Admission routes1
Has abstractyes

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