What do we learn from EC (black carbon), OC and their Isotope Measurements in Fine Airborne PM over Canada?
Bibliographic record
Abstract
ADAM33 represents an important gene of susceptibility for lung function impairment. This work aimed to evaluate the association between genetic polymorphism of ADAM33 at four single nucleotide polymorphisms (T1, T2, S1, and Q1) and arginase activity with respiratory functions impairment in wood workers. The study was done to compare ventilatory functions and arginase activity of 82 wood workers and 81 controls. Genotyping was determined by using the polymerase chain restriction fragment length polymorphism method. Forced expiratory volume in the first second (FEV1), forced vital capacity (FVC), and peak expiratory flow rate (PEF) of the workers were significantly reduced compared with the controls. T1 single nucleotide polymorphism (SNP) was associated with obvious decline in the FEV1, FVC, and PEF in wood workers, while T2 SNP was associated with decline in FEV1 and PEF. A significant increase in arginase activity was found in T2 and S1 SNPs of the exposed workers. Increase in duration of exposure was correlated with the decline in ventilatory functions. This inverse correlation was significant for pulmonary function indices in AA and GG genotypes of T1 and T2, respectively. Moreover, significance was detected for FVC and FEV1 in AA and GA genotypes of S1 and Q1. A positive correlation between arginase activity and duration of exposure was found to be significant in GG genotype of S1 SNP. An association between ADAM33 gene polymorphism and impaired lung functions was detected in wood dust-exposed workers. Arginase activity may play an associated important role in increasing this impairment in wood workers.
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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) | 0.007 | 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".