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Record W2117032651 · doi:10.3899/jrheum.130464

GRAPPA Educational Initiatives: A report from the GRAPPA 2012 Annual Meeting

2013· article· en· W2117032651 on OpenAlexvenueno aff
Philip J. Mease

Bibliographic record

VenueThe Journal of Rheumatology · 2013
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsPsoriatic arthritisMedicineAxial spondyloarthritisLatin AmericansPsoriasisMedical educationFamily medicineContinuing medical educationMedical physicsContinuing educationArthritisDermatologyInternal medicinePolitical science

Abstract

fetched live from OpenAlex

A key mission of the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) is to provide education about psoriasis and psoriatic arthritis (PsA) to clinicians. Among the global educational initiatives in 2012, GRAPPA worked collaboratively with several Latin American medical societies to organize a meeting of rheumatologists and dermatoligists in Buenos Aires; a second meeting is planned for Mexico City in September 2013. GRAPPA members also collaborated with the Spondyloarthritis Research and Therapy Network to conduct a series of continuing medical education symposia throughout the United States to update rheumatologists about new findings in PsA and spondyloarthritis. Finally, GRAPPA faculty presented a teaching module on PsA at an Asian regional conference in Singapore. Summaries of these activities are presented here.

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)0.016
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 score0.020
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.000
Scholarly communication0.0040.003
Open science0.0020.006
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0190.006

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 head0.298
Teacher spread0.282 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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