Associations Between Immune Function in Yearling Beef Cattle and Airborne Polycyclic Aromatic Hydrocarbons and PM<sub>1.0</sub> Near Oil and Natural Gas Field Facilities
Bibliographic record
Abstract
Researchers determined the potential associations between exposure to airborne fine particulate matter (ie, particulate matter that is < 1 microm in diameter, or PM1.0) and polycyclic aromatic hydrocarbons (PAHs) and immune system function in beef cattle by using blood samples collected from yearling cattle in 22 herds in the spring of 2002. The herds were located at variable distances from industry field facilities in the major oil- and gas-producing areas of western Canada. The researchers evaluated immune system competence by measuring populations of B-lymphocytes and T-lymphocyte subtypes (CD4, CD8, gammadelta, and WC1) in peripheral circulation (n = 469), and systemic antibody production in response to vaccine administration (n = 446). They used particulate air monitors to estimate the exposure of the cattle to airborne contaminants by determining mean monthly concentrations of PM1.0 and 24 different PAHs from January to June. The mean concentration of PAHs measured in the ambient air of herds monitored in this study was low, with naphthalene being present in the highest concentration (geometric mean = 5.6 ng/m3; geometric standard deviation = 38), followed by 1-methylnaphthalene (geometric mean = 2.2 ng/m3; geometric standard deviation = 12). The geometric mean monthly exposure to PM1.0 was 7.1 microg/m3 (geometric standard deviation = 1.5) for the same period. The researchers detected no significant plausible associations between exposure to any measured airborne contaminants and immune system function.
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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".