Bibliographic record
Abstract
Type 1 diabetes is a T cell-mediated autoimmune disease. Genetic and environmental factors induce chronic autoimmunity against pancreatic beta cells. As time passes, autoimmunity gives rise to beta cell loss and overt diabetes. The immune system reacts against foreign substances such as microbes, and macromolecules like proteins and polysaccharides. The specific immune response is able to distinguish the body’s own macromolecules from those that are extraneous. Tolerance is a process where the immune system learns to live with macromolecules of the body in which it belongs, and maintains and develops the ability to react against foreign molecules. However, if the immune system reacts against its own members, the tolerance can be broken naturally. This can happen through cessation of the repression that prevents immune cells reacting against components of the body or by alterations in cells that the body does not recognize as self. This phenomenon is called autoimmunity. The pathogenesis begins with the activation of potentially self-reactive T lymphocytes. The serious loss of pancreatic beta cells and infiltration of pancreatic islets by lymphocytes that create insulitis represent the pathology of type 1 diabetes.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".