MétaCan
Menu
Back to cohort
Record W2606172895 · doi:10.1111/exd.13359

Hair follicle dermal stem cells and skin‐derived precursor cells: Exciting tools for endogenous and exogenous therapies

2017· article· en· W2606172895 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

VenueExperimental Dermatology · 2017
Typearticle
Languageen
FieldMedicine
TopicHair Growth and Disorders
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsHair follicleStem cellProgenitor cellRegeneration (biology)MesenchymeMesenchymal stem cellCell biologyBiologySkin repairHair lossDermisImmunologyMedicinePathologyWound healingAnatomyGenetics

Abstract

fetched live from OpenAlex

Understanding the cellular interactions and molecular signals underlying hair follicle (HF) regeneration may have significant implications for restorative therapies for skin disease that diminish hair growth, whilst also serving to provide fundamental insight into the mechanisms underlying adult tissue regeneration. One of the major, yet underappreciated, players in this process is the underlying HF mesenchyme. Here, we provide an overview of a mesenchymal progenitor pool referred to as hair follicle dermal stem cells (hfDSCs), discuss their potential functions within the skin and their relationship to skin-derived precursors (SKPs), and consider unanswered questions about the function of these specialized fibroblasts. We contend that dermal stem cells provide an important reservoir of renewable dermal progenitors that may enable development of novel restorative therapies following hair loss, skin injury or disease.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score1.000

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 studies0.0010.000
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 head0.044
GPT teacher head0.284
Teacher spread0.240 · 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