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Record W2952479587 · doi:10.5114/dr.2019.85579

Onychomadesis as a preemptive sign of pemphigus vulgarisexacerbation

2019· article· en· W2952479587 on OpenAlexaboutno aff
Andrzej Jaworek, Agnieszka Oszywa, Anna Wojas‐Pelc

Bibliographic record

VenueDermatology Review · 2019
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Bullous Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsExacerbationSign (mathematics)Pemphigus vulgarisDermatologyMedicineImmunology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.528
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.009
GPT teacher head0.288
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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