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Record W4212911932 · doi:10.1161/jaha.121.024765

American Heart Association EPI|Lifestyle Scientific Sessions: 2021 Meeting Highlights

2022· article· en· W4212911932 on OpenAlexfundno aff

Bibliographic record

VenueJournal of the American Heart Association · 2022
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Risk Factors
Canadian institutionsnot available
FundersNational Institute of Neurological Disorders and StrokeNational Heart, Lung, and Blood InstituteNational Institute on AgingLarner College of Medicine, University of VermontUniversity of VermontVirginia Commonwealth UniversitySchool of Medicine, Virginia Commonwealth UniversityUniversity of North Carolina at Chapel HillYork UniversityUniversity of MinnesotaSchool of Medicine, Emory UniversityCedars-Sinai Medical CenterUniversity of PittsburghJohns Hopkins UniversityEmory University
KeywordsObservational studyEpidemiologyPublic healthAlternative medicineRandomized controlled trialCardiovascular healthMEDLINEClinical trial

Abstract

fetched live from OpenAlex

annual American Heart Association (AHA) EPI|Lifestyle Scientific Sessions for 2021 was held in a virtual format from May 20 to 21, 2021. The AHA EPI|Lifestyle Scientific Sessions were combined meetings of the Council on Epidemiology and Prevention (EPI) and the Council on Lifestyle and Cardiometabolic Health. The 2021 conference's theme was Health Equity and Social Justice and highlighted keynote sessions on health equity, structural racism, and COVID-19 and cardiovascular disease (CVD) research. Results from observational studies and randomized controlled trials were presented at the meeting, including research on topics such as social determinants of health, maternal and child health, omics, nutrition, physical activity, and sleep. Participants of the virtual conference included clinicians, public health professionals, and trainees. Over 600 people took part in this year's event, which hosted 212 poster presentations, 66 moderated posters, and 80 oral presentations. The meeting chair representing the Council on Lifestyle and Cardiometabolic Health was

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)0.007
metaresearch head score (Gemma)0.003
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 score0.224
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
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 head0.010
GPT teacher head0.288
Teacher spread0.277 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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