Survie cellulaire : differences et différenciation
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
The regulatory mechanisms of cell survival and apoptosis are very complex in nature, implicating numerous players and signaling pathways not only in the decision-making process of surviving (or dying), but as well as in the execution of apoptosis itself. The same complex nature applies with regards to anoikis, a form of apoptosis that is largely regulated by integrin-mediated, cell-extracellular matrix interactions. However, cell survival, apoptosis and anoikis also happen to implicate further mechanistic distinctions according to the specific tissue and/or cell type concerned. Incidentally, recent studies in a particular tissue, the human intestinal epithelium, have unearthed yet another layer of complexity in the regulation of these three cellular processes, namely the implication of differentiation state-specific mechanisms. Although our understanding of the molecular underpinnings of this new concept of differentiation state-distinct regulation of cell survival, apoptosis and/or anoikis is in its infancy, there is already evidence that such principle applies as well to cell types other than intestinal epithelial cells. Further studies on the differentiation state-specific regulation of these three cellular processes, either under normal or physiopathological situations, should prove crucial in increasing our understanding of pathologies which implicate a dysregulation of apoptosis and/or anoikis - such as cancer.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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