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Record W4392431403 · doi:10.17140/plmoj-1-103

Mast Cells: The Key Players in Cardiac Remodelling

2016· article· en· W4392431403 on OpenAlexaff
Amrit Pal Singh, Harpal S. Buttar

Bibliographic record

VenuePathology and Laboratory Medicine – Open Journal · 2016
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsMast (botany)Key (lock)Cell biologyChemistryBusinessMast cellBiologyImmunologyEcology

Abstract

fetched live from OpenAlex

The Mast Cells (MCs) are part of the immune system and they are actively involved in the inflammatory and allergic reactions. The MCs produce and release a wide variety of biologically active products, eg, histamine, Tumor necrosis factor-α (TNF-α), Transforming growth factor-β (TGF-β), interleukin and renin, which are involved in cardiac remodelling. MCs are considered culprits in various cardiovascular pathologies such as pressure and volume overload, ventricular dilatation, and heart failure. The deleterious role of MCs in failing heart and myocardial remodelling is being rigorously pursued in animal and human studies. The focus of this mini review is to highlight the detrimental effects of MCs in the cardiac remodelling process

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.245
Teacher spread0.229 · 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.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2016
Admission routes1
Has abstractyes

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