Onychomadesis as a preemptive sign of pemphigus vulgarisexacerbation
Bibliographic record
Abstract
ENWEndNote BIBJabRef, Mendeley RISPapers, Reference Manager, RefWorks, Zotero AMA Jaworek A, Oszywa A, Wojas-Pelc A. Onychomadesis as a preemptive sign of pemphigus vulgaris exacerbation. Dermatology Review/Przegląd Dermatologiczny. 2019;106(2):217-220. doi:10.5114/dr.2019.85579. APA Jaworek, A., Oszywa, A., & Wojas-Pelc, A. (2019). Onychomadesis as a preemptive sign of pemphigus vulgaris exacerbation. Dermatology Review/Przegląd Dermatologiczny, 106(2), 217-220. https://doi.org/10.5114/dr.2019.85579 Chicago Jaworek, Andrzej K., Agnieszka Oszywa, and Anna Wojas-Pelc. 2019. "Onychomadesis as a preemptive sign of pemphigus vulgaris exacerbation". Dermatology Review/Przegląd Dermatologiczny 106 (2): 217-220. doi:10.5114/dr.2019.85579. Harvard Jaworek, A., Oszywa, A., and Wojas-Pelc, A. (2019). Onychomadesis as a preemptive sign of pemphigus vulgaris exacerbation. Dermatology Review/Przegląd Dermatologiczny, 106(2), pp.217-220. https://doi.org/10.5114/dr.2019.85579 MLA Jaworek, Andrzej K. et al. "Onychomadesis as a preemptive sign of pemphigus vulgaris exacerbation." Dermatology Review/Przegląd Dermatologiczny, vol. 106, no. 2, 2019, pp. 217-220. doi:10.5114/dr.2019.85579. Vancouver Jaworek A, Oszywa A, Wojas-Pelc A. Onychomadesis as a preemptive sign of pemphigus vulgaris exacerbation. Dermatology Review/Przegląd Dermatologiczny. 2019;106(2):217-220. doi:10.5114/dr.2019.85579.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".