Bibliographic record
Abstract
Apoptosis and necroptosis are 2 major, yet distinct, forms of regulated cell death. Whereas apoptosis requires caspase protease function, necroptosis requires activation of the receptor interacting protein kinases 1 (RIPK1) and RIPK3. Following activation, RIPK3 phosphorylates mixed-lineage kinase domain-like (MLKL), leading to cell death. Apoptosis and necroptosis are deeply intertwined such that a given death stimulus can often engage either form of cell death. Recent studies published in Cell Death and Differentiation by the Han, Oberst, and Vaux laboratories provide exciting new insights into necroptosis and how it interconnects with apoptosis. As we will discuss, their findings address key questions including: How does a cell choose between apoptosis or necroptosis? How can RIPK3 also induce apoptosis? What is the nature of the RIPK1-3 signaling cascade leading to necroptosis? Finally, data from the Oberst and Han groups strongly argue that RIPK1 is not only involved in executing necroptosis, but also protects against this process in some settings.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".