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Record W4411500169 · doi:10.1177/12034754251351637

Characteristics, Management, and Outcomes of Cutaneous Malignancies Arising From Necrobiosis Lipoidica: A Systematic Review

2025· review· en· W4411500169 on OpenAlexaff
Darshana Seeburruth, Siddhartha Sood, Martin Heung, Ilya Mukovozov

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2025
Typereview
Languageen
FieldMedicine
TopicSkin Diseases and Diabetes
Canadian institutionsWomen's College HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsNecrobiosis lipoidicaMedicineDermatologyDiabetes mellitus

Abstract

fetched live from OpenAlex

adjudication. 3 Notably, nemolizumab exhibited rapid onset of action, with improvements in outcomes by 2 weeks, faster than IL-4/IL-13 and IL-13 inhibitors, but slower than Janus kinase inhibitors, which provide symptomatic relief. 4,5 Nemolizumab is efficacious and safe in AD, PN, and UP, especially for providing rapid itch relief (Supplementary Table 4).

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.063
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0110.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.300
Teacher spread0.274 · 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; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations2
Published2025
Admission routes1
Has abstractyes

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