EFFECTS OF AIR POLLUTION ON OBESITY AND ECTOPIC FAT DEPOSITION
Bibliographic record
Abstract
Globally, the prevalence of obesity tripled between 1975 and 2016. Alongside well-known risk factors such as an unhealthy diet, sedentary lifestyle, and genetic predisposition, recent studies suggest that air pollution may also contribute to the obesity epidemic. However, evidence remains inconclusive due to variations in demographics, study designs, and types of pollutants examined. Additionally, few studies have investigated the relationship between air pollution and ectopic fat deposition. This dissertation aims to advance the understanding of ambient air pollution and its association with obesity and body fat distribution. It begins with a systematic review protocol and the resulting systematic review and meta-analysis (Chapters 2 and 3). These are followed by two manuscripts that explore this association using data from a pan-Canadian study. These studies adjust for key covariates and incorporate MRI measures of body fat distribution, including visceral fat, to provide deeper insights (Chapters 4 and 5).
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".