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Record W2035052746 · doi:10.1055/s-2005-872411

Applications of Aminolevulinic Acid-Based Photodynamic Therapy in Cosmetic Facial Plastic Practices

2005· review· en· W2035052746 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFacial Plastic Surgery · 2005
Typereview
Languageen
FieldMedicine
TopicPhotodynamic Therapy Research Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineRosaceaDermatologyPhotodynamic therapyAcneMelasmaFood and drug administrationPharmacology

Abstract

fetched live from OpenAlex

Photodynamic therapy (PDT) using aminolevulinic acid (ALA) is a promising new technique that is being studied extensively and used in a variety of cosmetic facial plastic arenas. These applications include U.S. Food and Drug Administration-approved treatment of premalignant and malignant skin conditions, as well as off-label uses for photorejuvenation, and the treatment of acne vulgaris, sebaceous gland hyperplasia, rosacea, and hirsutism. This article reviews the interplay of factors that contribute to the appearance of actinically damaged or photoaged skin, also known as dermatoheliosis. This is followed by a brief review of the mechanisms of action of ALA-based PDT and some of its cosmetic facial plastic uses.

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.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.085
GPT teacher head0.398
Teacher spread0.314 · 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