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Self-reported menopausal symptoms, coronary artery calcification, and carotid intima-media thickness in recently menopausal women screened for the Kronos early estrogen prevention study (KEEPS)

2013· article· en· W2166189204 on OpenAlexfundno aff
E.F. Wolff, Yunxiao He, Dennis M. Black, Eliot A. Brinton, Matthew J. Budoff, Marcelle I. Cedars, Howard N. Hodis, Rogerio A. Løbo, JoAnn E. Manson, George R. Merriam, Virginia M. Miller, Frederick Naftolin, Lubna Pal, Nanette Santoro, Heping Zhang, S. Mitchell Harman, Hugh S. Taylor

Bibliographic record

VenueFertility and Sterility · 2013
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsnot available
FundersUniversity of California, San FranciscoUniversity of California, Los AngelesNational Institutes of HealthNovo NordiskEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentBayer HealthCareNational Institute on Drug AbuseYork UniversityNational Center for Research ResourcesGeorgia Clinical and Translational Science AllianceAurora FoundationUniversity of WashingtonMayo Foundation for Medical Education and ResearchNational Center for Advancing Translational SciencesUniversity of Southern CaliforniaYale UniversitySchool of MedicineUniversity of CaliforniaBrigham and Women's HospitalJohns Hopkins UniversityNational Heart, Lung, and Blood InstitutePfizerAbbott Laboratories
KeywordsMedicineIntima-media thicknessMenopauseIrritabilityInternal medicinePalpitationsPopulationLower urinary tract symptomsGynecologyObstetricsProstateCarotid arteries

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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 score0.032
Threshold uncertainty score0.923

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.041
GPT teacher head0.310
Teacher spread0.269 · 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

Citations61
Published2013
Admission routes1
Has abstractno

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