<i>Pseudomonas aeruginosa:</i>Role in the Pathogenesis of the CF Lung Lesion
Bibliographic record
Abstract
Lung disease is the leading cause of morbidity and mortality in individuals with cystic fibrosis (CF), with P. aeruginosa the main pulmonary infectious agent. Although CF patients can become infected with other microorganisms (such as Burkholderia cepacia complex, Staphylococcus aureus, Haemophilus influenzae, and atypical mycobacteria), P. aeruginosa predominates, eventually infecting approximately 80% of patients. Once established, P. aeruginosa infection usually persists until death. The interaction between the CF host and this opportunistic pathogen is unique and most likely directly contributes to the classical end-stage pathology of CF lung disease. However, the extent to which this constitutes success by the pathogen or failure by the host, or both, is yet to be determined. Many important questions remain regarding host susceptibility, the role of both innate and adaptive immune defenses, bacterial infectivity and transmission, and pathogen virulence factors. Here, we discuss some recent advances toward understanding this complex interaction between host and pathogen and how the interplay influences the CF lung lesion.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".