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Record W2549381842 · doi:10.1001/jama.2016.13614

Temporal Changes in the Association Between Modifiable Risk Factors and Coronary Heart Disease Incidence

2016· letter· en· W2549381842 on OpenAlexafffund
Ann Marie Návar, Eric D. Peterson, Daniel Wojdyla, Robert J. Sanchez, Allan D. Sniderman, Ralph B. D’Agostino, Michael Pencina

Bibliographic record

VenueJAMA · 2016
Typeletter
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsMcGill University Health Centre
FundersNational Heart, Lung, and Blood InstituteAmerican Heart AssociationSanofiValeant Pharmaceuticals InternationalRegeneron PharmaceuticalsGenentechAstraZeneca
KeywordsMedicineIncidence (geometry)Coronary heart diseaseInternal medicineCardiologyFramingham Risk ScoreDiseaseAssociation (psychology)

Abstract

fetched live from OpenAlex

This study uses data from 5 National Heart, Lung, and Blood Institute cohorts to investigate changes in association between modifiable risk factors and coronary heart disease from 1983-1995 and from 1996-2011.

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)0.000
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: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.337
Threshold uncertainty score0.417

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 integrity0.0000.001
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 head0.039
GPT teacher head0.269
Teacher spread0.231 · 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
GenreCommentary

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

Citations33
Published2016
Admission routes2
Has abstractyes

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