Successful treatment of a child’s lupus erythematosustumidus with antimalarials
Bibliographic record
Abstract
AMA Arasiewicz H, Kamińska-Winciorek G, Dec M, Leśniak-Jakubiec L. Successful treatment of a child’s lupus erythematosus tumidus with antimalarials. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii. 2023;40(4):581-583. doi:10.5114/ada.2023.130475. APA Arasiewicz, H., Kamińska-Winciorek, G., Dec, M., & Leśniak-Jakubiec, L. (2023). Successful treatment of a child’s lupus erythematosus tumidus with antimalarials. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii, 40(4), 581-583. https://doi.org/10.5114/ada.2023.130475 Chicago Arasiewicz, Hubert, Grażyna Kamińska-Winciorek, Michał Dec, and Lilianna Leśniak-Jakubiec. 2023. "Successful treatment of a child’s lupus erythematosus tumidus with antimalarials". Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii 40 (4): 581-583. doi:10.5114/ada.2023.130475. Harvard Arasiewicz, H., Kamińska-Winciorek, G., Dec, M., and Leśniak-Jakubiec, L. (2023). Successful treatment of a child’s lupus erythematosus tumidus with antimalarials. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii, 40(4), pp.581-583. https://doi.org/10.5114/ada.2023.130475 MLA Arasiewicz, Hubert et al. "Successful treatment of a child’s lupus erythematosus tumidus with antimalarials." Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii, vol. 40, no. 4, 2023, pp. 581-583. doi:10.5114/ada.2023.130475. Vancouver Arasiewicz H, Kamińska-Winciorek G, Dec M, Leśniak-Jakubiec L. Successful treatment of a child’s lupus erythematosus tumidus with antimalarials. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii. 2023;40(4):581-583. doi:10.5114/ada.2023.130475.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".