Investigating the immunomodulatory potential of metals present in Sudbury Particulate Matter (SPaM)
Bibliographic record
Abstract
The incidence of allergic disease has risen dramatically over the last century. This increase cannot simply be attributed to genetics, and so environmental contributions to allergic disease must be considered. Airborne particulate matter is recognized as a contributing factor in the initiation and exacerbation of allergic respiratory diseases due to its ability to act as an adjuvant and irritant. Particulate matter is heterogeneous in composition, and different components contribute to its adjuvant effects, including metals. This thesis investigates whether metals contained in Sudbury Particulate Matter (SPaM) are potential immunomodulators. We investigated the ability of metals in SPaM to influence inflammation both in vivo and in vitro. We demonstrate that the metals are able to alter the inflammatory profile after physiologically relevant exposure levels, suggesting that some of the metals present in SPaM are immunomodulatory in nature and may influence allergic disease. Key Words
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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 | 0.000 |
| 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) | 0.004 | 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".