Environmental epidemiology of type 1 diabetes mellitus in Prince Edward Island
Bibliographic record
Abstract
The main objective of this thesis was to examine the relationship between type 1 diabetes mellitus (T1D) and dietary nitrate intake from both drinking water and food sources in Prince Edward Island (PEI), Canada at the ecological level, and at the individual level in a case-control study. Historical data on ground water nitrate concentrations and land use patterns were utilized to examine temporal and spatial assumptions made in these two T1D studies. Ground water nitrate concentrations were assessed temporally, and the association between ground water nitrate and local land use was assessed spatially, comparing areal aggregation methods. The relationship between average nitrate concentration in ground water and T1D incidence at the watershed level was assessed, taking into account the population-at-risk and average household income. A case-control study compared drinking water chemistry, food frequency and average dietary component (e.g. nutrients) consumption between patients diagnosed with T1D during a four year period, and their age and sex matched controls, with an emphasis on nitrate concentrations and its derivatives. Some environmental and genetic-based factors were evaluated and controlled for where appropriate.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".