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Record W3135612453 · doi:10.3899/jrheum.201680

GRAPPA Patient Research Partner Network: Update to the GRAPPA 2020 Annual Meeting

2021· article· en· W3135612453 on OpenAlexvenueno aff
Denis P. O’Sullivan, Ingrid Steinkoenig

Bibliographic record

VenueThe Journal of Rheumatology · 2021
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsPsoriatic arthritisCoronavirus disease 2019 (COVID-19)Medical physicsMedicineFamily medicinePhysical therapyMedical educationInternal medicineArthritisDisease

Abstract

fetched live from OpenAlex

Eleven Patient Research Partners (PRPs) attended the virtual Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2020 Annual Meeting. PRPs fully participated in the panel discussion at the 2020 GRAPPA Annual Meeting on the topic of the coronavirus disease 2019 (COVID-19; caused by SARS-CoV-2). The members of the PRP group have been involved in many GRAPPA projects over the last year, including work on the GRAPPA-Outcome Measures in Rheumatology (OMERACT) Core Set, GRAPPA's 2020 Treatment Guidelines update project, and GRAPPA's Collaborative Research Network project.

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)0.031
metaresearch head score (Gemma)0.050
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: Other · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.161

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.050
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0020.001
Scholarly communication0.0050.005
Open science0.0030.006
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0400.025

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 head0.026
GPT teacher head0.326
Teacher spread0.300 · 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
GenreOther

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

Citations3
Published2021
Admission routes1
Has abstractyes

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