Autoimmunity and Apoptosis - Therapeutic Implications
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
Acquisition of a complex immune system during evolution provided organisms with the most effective defense mechanism against "foreign" or "non-self" invaders. This efficient protection against pathogens, however, has been achieved at the expense of a higher risk for "self"-directed reaction or autoimmunity. Establishment of self-tolerance and homeostasis in the immune system is regulated at different physiological stages of immune cells development. The breakdown in discrimination between "self" and "non-self" causes an aberrant immune response against autoantigens that promote damage to the "self" cells and tissue(s), resulting in various autoimmune phenotypes. Whereas activation and clonal proliferation of autoreactive T- and B- lymphocytes underlies the pathogenesis of autoimmune diseases, the mechanism by which self-tolerance is lost and autoimmune responses are induced is not clear yet. Autoimmunity is a multi-step process that occurs as a consequence of complex interaction between genetic susceptibility and non-genetic factors. Programmed cell death, as a key mechanism to regulate immune system function, has a crucial influence on both the selection process of immune cells and the maintenance of this immune tolerance in peripheral repertoire. Thus, defects in apoptotic death pathways may contribute to the development of autoimmune response in susceptible individuals in certain conditions.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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