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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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0000.000

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 head0.030
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 teacher head, not a consensus.

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

Citations19
Published2021
Admission routes1
Has abstractyes

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