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Record W4399365896 · doi:10.46856/grp.10.ept194

Avaliação do programa de autogestão do Paciente Especialista PANLAR na artrite reumatóide. Um estudo piloto na Argentina, Colômbia e Panamá

2024· article· pt· W4399365896 on OpenAlex
Arrighi Emilia, León Aguila Ana Paula, Caballero-Uribe Carlo, Soriano Enrique R, Cabrera Correal María Carolina, Vazquez Natalia, Pereira Dora, Giraldo Enrique, Ferreyra Garrot Leandro, Moreno Del Cid Ilsa Yosmar, Leal María Olga, Salas Siado José A., Rodríguez Sotomayor Jorge Jesús, Fernández Andrés, Torres Priscila, Gómez Stella Maris, Vilches Sandra, Jordán María Cristina, Pinzón Enma, Ochoa G Gina Sicilia, Suárez Dalila

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Rheumatology · 2024
Typearticle
Languagept
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsArthritis Society
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

A educação é um pilar do manejo integral de pacientes que convivem com doenças reumáticas e musculoesqueléticas (RD&MEs). Ela permite que a otimização do autocuidado para manutenção da saúde. O objetivo deste estudo foi avaliar a eficácia do programa PANLAR Patient Expert (PE) na otimização das habilidades de autocuidado para atividade física, alimentação saudável, comunicação com profissionais, adesão terapêutica e tomada de decisão

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.736
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0010.002
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.006

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 head0.020
GPT teacher head0.316
Teacher spread0.296 · 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