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Record W4401979973 · doi:10.1016/j.jacbts.2024.06.007

Pericardial Fluid of Patients With Coronary Artery Disease Can Drive Fibrosis Via TGF-Beta Pathway

2024· article· en· W4401979973 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

VenueJACC Basic to Translational Science · 2024
Typearticle
Languageen
FieldMedicine
TopicPericarditis and Cardiac Tamponade
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineCoronary artery diseasePericardial fluidCardiologyInternal medicineFibrosisArteryCardiac fibrosisPericardiumTransforming growth factorMyocardial fibrosis

Abstract

fetched live from OpenAlex

• Human PF contains inflammatory mediators, including cytokines, chemokines, and growth factors. • Reflecting a dynamic space, disease states can influence the inflammatory mediator profile of human pericardial fluid. • Human PF can drive profibrotic processes in vitro via the TGF-β pathway. Human pericardial fluid (PF) is a rich reservoir of biologically active markers. The acellular compartment of PF can drive cardiac fibroblast activity in vitro. This process is mediated through the transforming growth factor-β pathway. Of clinical importance, the PF of patients with coronary artery disease has an increased profibrotic capacity compared with the PF of patients without coronary artery 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.006
GPT teacher head0.222
Teacher spread0.216 · 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