Associations between the Spatiotemporal Distribution of Kawasaki Disease and Environmental Factors: Discovering Clues into the Elusive Etiology of a Complex Disease
Bibliographic record
Abstract
Kawasaki disease is an acute vasculitis of childhood which may lead to coronary artery aneurysms, and is the most common cause of acquired heart disease in children in developed countries. The etiology remains unknown, but is currently felt to be the result of a dysregulation and hyper-stimulation of the inflammatory system occurring in genetically and developmentally susceptible individuals after exposure to one or more unidentified infectious or environmental trigger(s). The aim of this thesis was to determine how variations in the incidence of KD in Canada are spatiotemporally associated with the incidence of infections and atopic conditions, wind and weather components, pollution and aeroallergens. We established that immunomodulation may be influenced by pollution and habitual exposure to aeroallergens. We proposed that fungal and algal spores, viral gastrointestinal and bacterial lower respiratory tract infections may trigger KD. These findings add to the etiologic framework for KD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".