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Record W1539195752 · doi:10.1139/y05-151

The role of sex in cardiac function and diseaseThis paper is one of a selection of papers published in this Special Issue, entitled Young Investigator's Forum.

2006· review· en· W1539195752 on OpenAlex
Michael P. Czubryt, Leon Espira, Lise Lamoureux, Bernard Abrenica

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2006
Typereview
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsSt. Boniface Hospital
Fundersnot available
KeywordsAffect (linguistics)DiseaseMechanism (biology)EpigeneticsFunction (biology)Review articleCardiac function curvePsychologyMedicineBioinformaticsGerontologyBiologyInternal medicineHeart failurePathologyGenetics

Abstract

fetched live from OpenAlex

In the past decade, increasing attention has been paid to the importance of sex in the etiology of cardiac dysfunction. While focus has been primarily on how sex modulates atherogenesis, it is becoming clear that sex is both a predictor of outcome and an independent risk factor for a number of other cardiac diseases. Animal models and human studies have begun to shed light on the mechanisms by which sex influences the function of cardiomyocytes in health and disease. This review will survey the current literature on cardiac diseases that are influenced by sex and discuss the intracellular mechanisms by which steroid sex hormones affect heart function. A theory on how sex may regulate myocardial energy metabolism to affect disease susceptibility and progression will be presented, as well as a discussion of how sex may influence outcomes of experiments on isolated cardiomyocytes by epigenetic marking.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.892
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0050.000

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 head0.014
GPT teacher head0.271
Teacher spread0.258 · 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