Bibliographic record
Abstract
The Notch pathway is a conserved signal transduction system that mediates intercellular signaling to regulate cell fate decisions in various tissues. Dysregulation of Notch activity results in various disorders, including cardiovascular diseases and cancer. Notch regulates cell fate through a number of mechanisms that include control of cell proliferation, survival, migration, and differentiation. Notch activation increases vascular endothelial cell adhesion through the enhancement of beta(1) integrin affinity for fibronectin, collagens I and IV, and vitronectin without altering the abundance of beta(1) integrin at the cell surface. A study now suggests that this Notch-dependent increase in beta(1) integrin affinity occurs through the activation of the small guanosine triphosphate (GTP)-binding protein, R-Ras. It is proposed that Notch-dependent activation of R-Ras reverses H-Ras-mediated suppression of integrin affinity. Activation of R-Ras by Notch may be triggered by a noncanonical CSL (CBF1 or RBP-Jkappa in vertebrates, Suppressor of Hairless in Drosophila, Lag-1 in Caenorhabditis elegans)-independent pathway. Because R-Ras is selectively distributed in vascular cells, these findings are of particular importance in understanding the effector functions of Notch in the vascular system.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".