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Record W2595733623 · doi:10.1111/micc.12370

Endothelial signaling and the dynamic regulation of arterial tone: A surreptitious relationship

2017· editorial· en· W2595733623 on OpenAlexafffund
Donald G. Welsh, Thomas A. Longden

Bibliographic record

VenueMicrocirculation · 2017
Typeeditorial
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsWestern University
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of Canada
KeywordsTone (literature)Vascular toneEndotheliumKey (lock)NeuroscienceMatching (statistics)MedicineCognitive sciencePsychologyComputer scienceCardiologyInternal medicinePathologyVasodilationPhilosophy

Abstract

fetched live from OpenAlex

The endothelium is an integrated layer of cells whose dynamic regulation governs arterial tone development and the matching of blood flow delivery to tissue energetic demand. Investigating the structural and electrical properties of native endothelial cells has been a challenging prospect, with efforts often restricted to traditional myographic techniques. Concerted experimental attention, along with recent technical advances, has broadened the investigative tool kit, deepening mechanistic insights. This overview in part of a STI centered on the endothelium and how key structural/electrical properties guide arterial tone development and integrated network behavior. Articles are written in a provocative, opinionated manner to provoke deeper thought and to highlight areas of investigative deficiency.

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)0.002
metaresearch head score (Gemma)0.006
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: Editorial · Consensus signal: Editorial
Teacher disagreement score0.005
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0040.004
Open science0.0020.001
Research integrity0.0050.013
Insufficient payload (model declined to judge)0.0040.003

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 head0.010
GPT teacher head0.285
Teacher spread0.274 · 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
GenreEditorial

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

Citations3
Published2017
Admission routes2
Has abstractyes

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