Obesity, metabolic syndrome, and coronary atherosclerosis. Circulation 105
Bibliographic record
Abstract
The relationship between obesity and coronary athero-sclerosis (and coronary heart disease [CHD]) has beena subject of some dispute for many years. Data from early investigations suggested that obesity is not an important contributing cause of coronary atherosclerosis and CHD. For example, results of the Seven Countries Study1 revealed little correlation between body weight and incidence of CHD. Moreover, in the massive autopsy study called “The Geo-graphic Pathology of Atherosclerosis, ” edited by Henry C. McGill, Jr,2 the relationship between body weight and ath-erosclerosis was weak at best. This study included a detailed examination of arteries from a large number of autopsies carried out in New Orleans, Sao Paulo, Puerto Rico, Lima, and Santiago; by and large, the results uncovered no associ-ation between extent of arterial fatty streaks or raised athero-sclerotic lesions in either the coronary arteries or the aorta for any measure of body weight, height, or obesity.3 It was noted
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".