Chronic in vivo overexpression of TGF-B|1 using a retroviral expression vector
Bibliographic record
Abstract
There are numerous causes of progressive pulmonary fibrosis but the most common form is called idiopathic pulmonary fibrosis (IPF). The etiology of IPF is unknown and it is relentless and lethal. The proposed pathogenesis of IPF is that following tissue injury there is recruitment of inflammatory cells that are activated to release proinflammatory and fibrogenic cytokines. Of these cytokines TGF-$\\beta\\sb1$ is not only a mitogen for immature fibroblasts but also a chemoattractant for fibroblasts and induces connective tissue synthesis which leads to fibrosis. In an early pulmonary injury response TGF-$\\beta\\sb1$ is aberrantly present in alveolar macrophages. However, in progressive pulmonary fibrosis where there are advanced lesions, TGF-$\\beta\\sb1$ is present in alveolar macrophages and epithelial cells irrespective of the etiology. Although we have demonstrated that increased expression of TGF-$\\beta\\sb1$ by alveolar macrophages is important for the pathogenesis of pulmonary inflammation and fibrosis, we sought to determine if aberrant expression of TGF-$\\beta\\sb1$ by alveolar epithelial cells was also important in regulating the inflammation and fibrosis. (Abstract shortened by UMI.)
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".