MétaCan
Menu
Back to cohort

Dissecting mechanisms of innate and acquired immunity in myocarditis

2003· article· en· W2333392497 on OpenAlexaff
Bilal Ayach, Koichi Fuse, Tami A. Martino, Peter Liu

Bibliographic record

VenueCurrent Opinion in Cardiology · 2003
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Immunology Research
Canadian institutionsToronto General HospitalUniversity of TorontoHeart and Stroke FoundationUniversity Health Network
Fundersnot available
KeywordsMyocarditisMedicineInnate immune systemInflammationPathogenesisImmunologyImmunityGenetically modified mouseHeart failureDiseaseTransgenePhenotypeViral MyocarditisKnockout mouseAcquired immune systemReceptorImmune systemBiologyGenePathologyGeneticsCardiologyInternal medicine

Abstract

fetched live from OpenAlex

Inflammation underlies the pathogenesis of some of the most common cardiovascular diseases. Myocarditis is a relevant clinical cause of heart failure, but also provides an excellent laboratory model to study the mechanisms of inflammation leading to heart failure. The availability of different inbred mouse strains for inducing myocarditis using viral or myosin as triggers provides an excellent platform for investigation. The recent use of genetically manipulated mouse models of transgenic overexpression or knockout or knockin targets have provided opportunity to pinpoint specific pathways underlying myocarditis. These pathways include the involvement of both innate and acquired immunity, as well as the role of viral receptors in disease phenotype. These different models also permit the evaluation of therapeutic strategies of candidates for clinical development.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.070
GPT teacher head0.381
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

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 designObservational
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

Citations26
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueCurrent Opinion in CardiologySame topicViral Infections and Immunology ResearchFrench-language works237,207