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Record W1972749691 · doi:10.1002/jemt.10240

Genetic abnormalities of the endothelium

2002· review· en· W1972749691 on OpenAlexaff
Jagdish Butany, Subodh Verma, Richard L. Leask, Basal Mohsen, L. Sylvia

Bibliographic record

VenueMicroscopy Research and Technique · 2002
Typereview
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsToronto General HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEndothelial dysfunctionDiseaseEndotheliumMicroangiopathyDiabetes mellitusVascular diseaseMedicineThrombotic microangiopathyEndothelial stem cellBiologyBioinformaticsPathologyGeneticsInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Endothelial cell dysfunction plays an important role in the development and progression of cardiovascular and other disease. The purpose of this review is to discuss some of the genetic diseases known to adversely affect endothelial function. Although the list is exhaustive, we focus our discussion on primary pulmonary hypertension, diabetes mellitus, Alzheimer's disease, Crohn's disease, Von-Hippel-Lindau disease, familial Mediterranean fever, thrombotic microangiopathy, and key vascular malformations. Endothelial dysfunction results from a complex interplay between genetic and environmental factors. This review highlights some of the growing body of evidence implicating endothelial dysfunction as an important mediator of diverse diseases.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.968
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.121
GPT teacher head0.427
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 designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2002
Admission routes1
Has abstractyes

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