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Record W4220906884 · doi:10.20527/jbk.v18i1.12850

SENSITIVE SKIN: A NEW ENTITY PERSPECTIVE

2022· article· en· W4220906884 on OpenAlexaff
Putu Martha Gerynda Sukma, Windy Keumala Budianti, Sari Chairunnisa, Rinadewi Astriningrum

Bibliographic record

VenueBerkala Kedokteran · 2022
Typearticle
Languageen
FieldNeuroscience
TopicOlfactory and Sensory Function Studies
Canadian institutionsSKiN Health
Fundersnot available
KeywordsSensitive skinMedicineDermatologySkin barrierSkin careQuantitative sensory testingPopulationHuman skinSensory systemIntensive care medicineNeuroscienceBiologyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract: The phenomenon of “sensitive skin” is a relatively recent terminology in certain populations reporting sensory complaints that are more intense and more frequent than the normal population, especially after using cosmetic products. The incidence of sensitive skin is increasing along with the rapid widespread of skin care products availability. Various studies have been conducted but the pathophysiology of sensitive skin is still unclear. Physiological changes in sensitive skin are influenced by two main factors such as dysfunction in skin barrier and neurosensory. There are various quantitative sensory tests that can be done to determine skin sensitivity. Until now, there is no guideline for treating sensitive skin. Contributing factors, quantitative sensory tests, relation to skin diseases, and managements will be discussed in this literature review.Keywords: Dysfunction; Neurosensory; Sensitive skin; Skin barrier

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.002
Scholarly communication0.0020.005
Open science0.0010.002
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.104
GPT teacher head0.274
Teacher spread0.169 · 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 designTheoretical or conceptual
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

Citations0
Published2022
Admission routes1
Has abstractyes

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