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Coronary Heart Disease Prevention

2003· review· en· W2334410530 on OpenAlex
Kathryn M. King, Heather M. Arthur

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

VenueThe Journal of Cardiovascular Nursing · 2003
Typereview
Languageen
FieldMedicine
TopicSex and Gender in Healthcare
Canadian institutionsMcMaster UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineCoronary heart diseaseConstruct (python library)Sociocultural evolutionPsychological interventionDiseaseGerontologyInternal medicineNursing

Abstract

fetched live from OpenAlex

The construct of gender is typically differentiated from that of sex on the basis that it is socioculturally created rather than biophysically endowed. There has been some investigation regarding the relationship of gender to coronary heart disease prevention and risk factor management. However, mechanisms underlying the influence of gender on these important outcomes have not yet been fully examined or explained. There is a complex interplay among and between the sociocultural environments in which women live and the biophysical outcomes they experience. Funding agencies need to advance a research agenda aimed at prospectively examining the issues surrounding gender and development of coronary heart disease, as well as developing and testing practical and sustainable gender-specific interventions.

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)0.003
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.989
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.141
GPT teacher head0.418
Teacher spread0.278 · 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