Bibliographic record
Abstract
The Notch proteins encompass a family of transmembrane receptors that have been highly conserved through evolution as mediators of cell fate, and are comprised of 4 members in mammals (Notch1 to Notch4). Following intra cellular processing of the full-length protein, Notch is expressed at the cell surface as a heterodimeric receptor. Engagement by ligand results in a 2-step cleavage of the Notch heterodimer, releasing the intracellular domain of Notch and allowing translocation to the nucleus. The intracellular domain of Notch interacts with the DNA-binding factor, CSL, resulting in transactivation at various promoters, in particular those of various basic helix-loop-helix factors of the HES (Hairy and Enhancer of Split) and HRT families (Hairy-Related Transcription factor). Recent findings implicate Notch as playing a critical and non-redundant role in vascular development and maintenance. This article briefly reviews vessel development and Notch signaling and highlights studies that examine Notch functions such as proliferation, cell survival, migration, adhesion, and mesenchymal transformation in the vasculature. Human diseases caused by Notch pathway members are also discussed.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".