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Record W2793098346 · doi:10.1002/clc.22886

The connection between the breast and heart in a woman: Breast cancer and cardiovascular disease

2018· review· en· W2793098346 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

VenueClinical Cardiology · 2018
Typereview
Languageen
FieldMedicine
TopicChemotherapy-induced cardiotoxicity and mitigation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineBreast cancerDiseaseCancerInternal medicineSurvivorship curveOncologyCause of deathHeart disease

Abstract

fetched live from OpenAlex

Cardiovascular disease remains the leading cause of death in women in the United States and is a major public health issue for all women, but it is of increasing concern to breast cancer survivors. Advancements in early detection and breast cancer therapy have resulted in over 90% of women surviving 5 years past their diagnosis of breast cancer. Nonetheless, with increased survivorship from breast cancer, there has been an increase in cardiovascular disease in these women. The consequences of the treatments for breast cancer may increase the risk for cardiovascular disease. Additionally, there is an overlap of risk factors common to both breast cancer and cardiovascular disease. The increased risk of cardiovascular disease in women who survive breast cancer must be recognized, with a focus on the prevention and early detection of cardiovascular 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)0.003
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 score0.970
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.087
GPT teacher head0.399
Teacher spread0.312 · 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