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Record W2097384446 · doi:10.1159/000068159

Effects of Free Radicals on Coronary Artery

2003· review· en· W2097384446 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

VenueMedical Principles and Practice · 2003
Typereview
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePeroxynitriteEndotheliumReactive oxygen speciesCardiologyArterySuperoxideCoronary artery diseaseCoronary arteriesInternal medicineCell biologyBiochemistryChemistryBiology

Abstract

fetched live from OpenAlex

Coronary arteries supply blood to the heart and hence the control of coronary tone is pivotal to human survival. Reactive oxygen species (ROS) in specified amounts play an important role in normal metabolic and signalling processes. However, excess ROS can cause severe cardiovascular damage. For example, NO is produced by endothelium as a signal for relaxation. However, in an inflammatory response, NO from endothelium or macrophages can combine with superoxide to produce more deleterious peroxynitrite. Excess ROS have been associated with loss of coronary artery pliability--loss of contraction in some instances and relaxation in others. Atherosclerosis may also be considered an inflammatory response that leads to artery blockage, coronary disease and ischaemia-reperfusion. ROS produce various types of damage to ion channels and pumps and this damage is associated with vascular diseases such as atherosclerosis and hypertension. Endothelium and smooth muscle in the coronary artery are also affected differently by individual ROS. In fact, endothelium may act to protect the underlying smooth muscle against ROS. This review will give an overview of this field.

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)0.002
metaresearch head score (Gemma)0.028
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.055
GPT teacher head0.366
Teacher spread0.311 · 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