Bibliographic record
Abstract
OBJECTIVES: This article examines the association of family history of heart disease and leisure-time physical activity with incident heart disease. DATA SOURCE: The data are from the 1994/95, 1996/97 and 1998/99 longitudinal household components of Statistics Canada's National Population Health Survey. This study is based on information provided by 9,255 respondents aged 20 or older who reported that, in 1994/95, they were free of diagnosed heart disease and in good health. ANALYTICAL TECHNIQUES: Multiple logistic regression was used to estimate the association of family history and physical activity with a new diagnosis of heart disease, while controlling for age, sex, educational attainment, smoking, high blood pressure, diabetes, and body mass index. MAIN RESULTS: When family history and other risk factors were taken into account, people who, in 1994/95, engaged in regular physical activity at a moderate level or beyond had lower odds of receiving a new diagnosis of heart disease than did sedentary individuals. People with a family history of heart disease who regularly participated in at least moderate physical activity had lower odds of developing heart disease than did their sedentary counterparts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".