Prologue: Spondyloarthritis Unmet Research Needs Conference IV
Bibliographic record
Abstract
The Spondylitis Association of America (SAA) and the National Institute of Arthritis, Musculoskeletal and Skin Diseases (NIAMS) convened a conference on the campus of the National Institutes of Health (NIH) on September 28 and 29, 2023, to identify unmet needs in spondyloarthritis (SpA) research. The conference featured presentations by experts in areas of disease endotypes, pain, innovative imaging in SpA, health disparities in rheumatic diseases, and therapeutics. Members of the conference planning committee moderated the sessions and led the development of manuscripts summarizing recommendations to address unmet research needs. Early career investigators were invited to submit abstracts, which were presented at a networking session during the conference. Here, we highlight each of the sessions comprising the conference in the form of manuscripts published together as a conference summary.
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 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 | 0.014 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.008 | 0.007 |
| Insufficient payload (model declined to judge) | 0.138 | 0.034 |
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".