Bibliographic record
Abstract
Occupationally encountered mineral dusts such as asbestos, silica, silicates (talc, mica), and metals can produce a distinctive pattern of fibrosis and distortion of the small airways, particularly the distal membranous bronchioles (MB) and the respiratory bronchioles (RB). Recent reports show that the same types of changes, accompanied by considerable muscle hyperplasia, are found in individuals living in regions with high levels of particulate air pollutants (PM). Models and actual measurements suggest that these changes occur because the small airways are sites of high particle deposition, and inhaled and deposited particulates, including PM, enter the airway walls. Studies from our laboratory using a tracheal explant model have shown that, for many types of particles, entry into the airway wall causes expression of mediators that lead to airway wall fibrosis and airway wall smooth muscle hyperplasia, probably through oxidant mechanisms. These reactions are intrinsic properties of the particles and do not require exogenous inflammatory cells. There is considerable evidence that individuals with occupational exposure to a wide variety of mineral dusts, as well as individuals with chronic exposure to high levels of PM, develop chronic airflow obstruction. The type of small airway remodeling seen in particle-induced bronchiolitis appears to be one cause of chronic airflow obstruction in this setting.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| 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".