Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Chronic inflammation is a key feature of many airway diseases. Leukocyte accumulation in the lung has the capacity to mediate many aspects of the pathophysiology of such diseases including asthma and chronic obstructive pulmonary disease (COPD). Until recently, the CD4+ lymphocyte component of these inflammatory influxes was thought to consist of Th1 or Th2 type cells, however a third group of cells termed Th17 have been identified. These cells follow a distinct differentiation profile requiring TGFbeta and IL-6 leading to the expression of the Th17 selective transcription factor, RORgammat. Differentiation of these cells is restricted by Th1 and Th2 cytokines including IFNgamma and IL-4 which attenuate Th17 cell differentiation. The presence of Th17 cells in the airway has yet to be confirmed, yet IL-17 is expressed in both asthma and COPD. Many of the inflammatory effects of Th17 cells are attributed to the expression of this cytokine. For example, IL-17 up-regulates the expression of a number of CXCR2 chemokines including CXCL1, CXCL6 and CXCL8 together with neutrophil survival factors GM-CSF and G-CSF from the airway epithelium. This would suggest that Th17 cells are important in promoting and sustaining neutrophilic inflammation as observed in severe asthma and COPD. In addition, IL-17 can act synergistically with viral infection or other inflammatory mediators including TNF-alpha to potentiate these responses. Confirmation of the presence of Th17 cells in the airways in disease warrants further investigation since these cells would present a novel therapeutic opportunity to reduce neutrophilic inflammation in the lung.
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.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it