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Record W1985131684 · doi:10.1115/sbc2007-172212

Anatomically Correct Right Coronary Artery Model

2007· article· en· W1985131684 on OpenAlexaff
Helen Lentzakis, Mónica Farcas, Léonie Rouleau, Richard L. Leask

Bibliographic record

VenueASME 2007 Summer Bioengineering Conference · 2007
Typearticle
Languageen
FieldMedicine
TopicCoronary Interventions and Diagnostics
Canadian institutionsMontreal Heart InstituteUniversity of TorontoMcGill University
Fundersnot available
KeywordsShear stressArteryBlood flowFlow (mathematics)ViscometerIn vivoEndothelial stem cellBiomedical engineeringMechanicsIn vitroCardiologyAnatomyMaterials scienceChemistryMedicinePhysicsBiology

Abstract

fetched live from OpenAlex

Upon clinical analysis, regions such as curvatures and bifurcations have been characterized as high prone regions where atherosclerotic plaques were more likely to occur. Biological studies have linked this phenomenon to the localized response of the endothelial cells to mechanical blood flow forces such as fluid shear stress. Present common in vitro flow cell culture models such as parallel-plate flow chambers and cone and plate viscometers used to study endothelial cell response depict a simplified geometry and thus, unrealistic in vivo conditions. The aim of this project was to develop a more realistic in vitro cell culture model by using an anatomically correct right coronary artery model and a more physiologic flow environment for dynamic endothelial cell culture experiments.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.026
GPT teacher head0.282
Teacher spread0.256 · 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 designSimulation or modeling
Domainnot available
GenreMethods

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

Citations0
Published2007
Admission routes1
Has abstractyes

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