Psoriasis and Psoriatic Arthritis Clinics Multicenter Advancement Network Consortium (PPACMAN) 2021 Annual Meeting Proceedings
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.076 | 0.019 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".