Associations between Ozone and Fine Particulate Matter and Respiratory Illness Found to Vary between Children and Adults: Implications for U.S. Air Quality Policy
Bibliographic record
Abstract
repeated measurements in the clinical setting.A noninvasive test of neutrophil exocytosis would be required before this biomarker could be translated to the clinical setting.Neutrophil exocytosis-specific inhibitors with antiinflammatory activity have been developed and tested in animal models (10).Could these small-molecule drugs have therapeutic potential in CF lung disease?Although this is an enticing prospect, our understanding of the process of neutrophil degranulation is still in its infancy; therefore, it is difficult to predict whether the neutrophil activation process would be an appropriate therapeutic target.If the major driver for enzyme release is cell death rather than exocytosis from live neutrophils, then pursuing the antiprotease shield mechanism would likely be a more successful approach.Ultimately, longitudinal studies directly assessing neutrophil degranulation will be required to determine exactly how NE and other neutrophilderived products damage the airways, to better define the best targets for antiinflammatory treatment in patients with CF.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".