Association of Atopic Dermatitis With Rheumatoid Arthritis and Systemic Lupus Erythematosus in US Adults
Bibliographic record
Abstract
Department of Dermatology Feinberg School of Medicine Northwestern University Evanston, IL Department of Dermatology George Washington University School of Medicine, DC Address reprint requests to Jonathan I. Silverberg, MD, PhD, MPH, Department of Dermatology, George Washington University, School of Medicine, Suite 2B-425, 2150 Pennsylvania Ave, Washington, DC 20037. E-mail: [email protected]. The authors have no funding or conflicts of interest to declare. J.I.S. had full access to all the data in the study and takes responsibility for the integrity of the data and accuracy of the data analysis. J.I.S. participated in the study concept and design. J.I.S. and A.H. participated in the acquisition of data, the analysis and interpretation of data, the drafting of the article, and the critical revision of the manuscript for important intellectual content. A.H. participated in the statistical analysis. Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal’s website (www.dermatitisjournal.com).
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".