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Record W3204385332 · doi:10.1097/jd9.0000000000000164

Consensus on the Diagnosis and Treatment of Melasma in China (2021 Version)#

2021· article· en· W3204385332 on OpenAlexaff
Tianwen Gao, Hua Gu, Li He, Tiechi Lei, Ming Li, Tienan Li, Chunying Li, Tong Lin, Kuan-Hou Mu, Cai‐Xia Tu, Wen Hai, Jiyuan Wu, Aie Xu, Junling Zhang, Zhi-Zhong Zhen

Bibliographic record

VenueInternational Journal of Dermatology and Venereology · 2021
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsCAE (Canada)
Fundersnot available
KeywordsMelasmaDermatologyMedicineEtiologyPathogenesisClinical diagnosisHeredityPathologyIntensive care medicineBiology

Abstract

fetched live from OpenAlex

Abstract The pathogenesis of melasma is believed to be related to heredity, sun exposure, sex hormones, and other factors. The mechanisms underlying the development of melasma include increased melanin synthesis, vascular proliferation within the skin lesions, inflammation, and skin barrier dysfunction. The diagnosis of melasma is mainly based on clinical manifestations and noninvasive techniques. Coupling with recent research progress in melasma, the present consensus comprehensively elaborates the etiology, pathogenesis, clinical manifestations, staging, classification, diagnosis, and treatment of melasma to improve the diagnostic and therapeutic skills of Chinese dermatologists.

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)0.010
metaresearch head score (Gemma)0.010
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0060.003

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 head0.030
GPT teacher head0.334
Teacher spread0.305 · 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
GenreMethods

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

Citations19
Published2021
Admission routes1
Has abstractyes

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