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Record W4385703089 · doi:10.1177/24755303231195967

Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network Consortium (PPACMAN) 2021 Annual Meeting Proceedings

2023· article· en· W4385703089 on OpenAlexafffund
Carly Grant, Lourdes M. Pérez-Chada, Rebecca H. Haberman, Daniel Webster, Oliver FitzGerald, Christopher T. Ritchlin, Vinod Chandran, Cheryl F. Rosen, Brittany Weber, Michael Garshick, Lihi Eder, Soumya M. Reddy, Alexis Ogdie, José U. Scher, Joseph F. Merola

Bibliographic record

VenueJournal of Psoriasis and Psoriatic Arthritis · 2023
Typearticle
Languageen
FieldMedicine
TopicSpondyloarthritis Studies and Treatments
Canadian institutionsToronto Western HospitalWomen's College HospitalUniversity of TorontoUniversity Health Network
FundersNational Heart, Lung, and Blood InstitutePfizerNational Psoriasis FoundationUniversity of TorontoAmerican Heart Association
KeywordsPsoriatic arthritisPsoriasisMedicineMultidisciplinary approachSession (web analytics)DiseaseFamily medicinePsychological interventionHealth careNursingDermatologyInternal medicinePolitical science

Abstract

fetched live from OpenAlex

The Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network (PPACMAN) is a nonprofit organization whose mission is to optimize the clinical care of patients with psoriatic disease through multidisciplinary collaboration models. The PPACMAN 2021 Annual Meeting was held virtually on December 11, 2021. In all, 50 stakeholders participated in the meeting including dermatologists, rheumatologists, cardiologists, clinical researchers, patient advocacy representatives, and industry representatives. During the opening session of the meeting, presenters provided an update of several research projects dedicated to predicting and preventing psoriatic arthritis (PsA) such as the Psorcast, PAMPA, HIPPOCRATES, and the ELLIPSS studies. The second session centered around novel approaches to deliver multidisciplinary care in psoriatic disease. PPACMAN leadership introduced its wellness program and invited speakers to discuss new advances in cardiovascular disease, sleep disturbance, mental health problems, and dietary interventions in psoriatic disease. The final session of the meeting focused on how to improve patient engagement in their disease and care.

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 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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 teacher head, not a consensus.

Study designOther design
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

Citations0
Published2023
Admission routes2
Has abstractyes

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