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Record W2898943629 · doi:10.6061/clinics/2018/e387

Histomorphometric analysis of the skin of women during the reproductive period

2018· article· en· W2898943629 on OpenAlex
Heraldo Carlos Borges Inforzato, Adriana Aparecida Ferraz Carbonel, Ricardo Santos Simões, Gisela Rodrigues da Silva Sasso, Patrícia Lima, José Maria Soares, Lydia Masako Ferreira, Manuel de Jesus Simões

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

VenueClinics · 2018
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHaematoxylinHistologyMedicineReticular connective tissuePathologyReticular DermisEosinAnatomyStainingDermatologyDermis

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of this study was to evaluate the histomorphometry of the skin of women during the reproductive period according to the Fitzpatrick classification. METHODS: Thirty women aged 30 to 45 years were included in this study. We studied the surgical sites of extracted nevi. The material was processed for routine histology and then stained with haematoxylin and eosin as well as Picrosirius red. Four-micrometre histological sections were analysed according the Fitzpatrick criteria (skin pigmentation). The skin thickness and collagen concentration were determined for the reticular dermal skin. The data were statistically analysed with ANOVA. RESULTS: Fitzpatrick skin types I and II were thicker than the other skin types. CONCLUSIONS: Our data suggest that white skin may be less thick than dark skin.

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)0.001
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 score0.250
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.015
GPT teacher head0.280
Teacher spread0.265 · 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