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Record W4285586233 · doi:10.1097/mop.0000000000001155

Photodermatoses: what's new

2022· review· en· W4285586233 on OpenAlexaff
Margaret E. Scollan, Christine T. Lauren

Bibliographic record

VenueCurrent Opinion in Pediatrics · 2022
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPorphyrin Metabolism and Disorders
Canadian institutionsColumbia College
Fundersnot available
KeywordsMedicineXeroderma pigmentosumPhotodermatosisDermatologyPhotoprotectionGenetics

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: The purpose of this review is to summarize and highlight the recent literature in photodermatoses. In the past year, there have been many developments in this heterogeneous group of conditions. RECENT FINDINGS: This review is divided by photodermatoses type, which include idiopathic photodermatoses, photodermatoses secondary to exogenous agents, photodermatoses secondary to endogenous agents (the porphyrias), and genodermatoses. The idiopathic photodermatoses section focuses on case series and reports highlighting new disease presentations or further disease characterization and new treatment strategies for these disorders. The second section discusses a unique case and has a brief update on photoallergens. Clinical, diagnostic, and treatment updates for porphyrias are discussed in Section 3. For genodermatoses, we discuss complications and neoplastic risk of xeroderma pigmentosum and a few highlights from other rare disorders. Finally, we conclude with a brief overview of photoprotection updates, from assessing sun-damaged skin to the most effective photoprotective agents. SUMMARY: Up-to-date information will help providers identify and manage this rare group of disorders.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.003

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 head0.084
GPT teacher head0.380
Teacher spread0.296 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations4
Published2022
Admission routes1
Has abstractyes

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