A case of leukocytoclastic vasculitis associated with anti-tumor necrosis factor therapy
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Sikorska D, Marcinkowska-Pięta R, Mojs E, Żaba R, Adamski Z, Samborski W. A case of leukocytoclastic vasculitis associated with anti-tumor necrosis factor therapy. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii. 2018;35(3):323-324. doi:10.5114/ada.2018.76230. APA Sikorska, D., Marcinkowska-Pięta, R., Mojs, E., Żaba, R., Adamski, Z., & Samborski, W. (2018). A case of leukocytoclastic vasculitis associated with anti-tumor necrosis factor therapy. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii, 35(3), 323-324. https://doi.org/10.5114/ada.2018.76230 Chicago Sikorska, Dorota, Renata Marcinkowska-Pięta, Ewa Mojs, Ryszard Żaba, Zygmunt Adamski, and Włodzimierz Samborski. 2018. "A case of leukocytoclastic vasculitis associated with anti-tumor necrosis factor therapy". Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii 35 (3): 323-324. doi:10.5114/ada.2018.76230. Harvard Sikorska, D., Marcinkowska-Pięta, R., Mojs, E., Żaba, R., Adamski, Z., and Samborski, W. (2018). A case of leukocytoclastic vasculitis associated with anti-tumor necrosis factor therapy. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii, 35(3), pp.323-324. https://doi.org/10.5114/ada.2018.76230 MLA Sikorska, Dorota et al. "A case of leukocytoclastic vasculitis associated with anti-tumor necrosis factor therapy." Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii, vol. 35, no. 3, 2018, pp. 323-324. doi:10.5114/ada.2018.76230. Vancouver Sikorska D, Marcinkowska-Pięta R, Mojs E, Żaba R, Adamski Z, Samborski W. A case of leukocytoclastic vasculitis associated with anti-tumor necrosis factor therapy. Advances in Dermatology and Allergology/Postępy Dermatologii i Alergologii. 2018;35(3):323-324. doi:10.5114/ada.2018.76230.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".