ACR classification criteria for systemic lupus erythematosus: limitations and revisions to neuropsychiatric variables
Bibliographic record
Abstract
There are a wide variety of neurologic (N) and psychiatric (P) manifestations of systemic lupus erythematosus (SLE) which extend beyond those identified in the current American College of Rheumatology (ACR) classification criteria for SLE. Several attempts have been made to devise a classification of NP-SLE manifestations. The most recent is the ACR nomenclature and case definitions for 19 NP lupus syndromes which currently provides the best means of a standardized approach to categorize NP events in SLE patients. Data from a number of studies has indicated a wide variability in the prevalence of the 19 NP syndromes. On the basis of these findings and utilizing the guidelines provided in the case definitions for diagnosis and exclusion of confounding variables, it is proposed to examine a number of NP manifestations for possible inclusion in revised classification and diagnostic criteria for SLE.
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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 | 0.022 | 0.064 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".