CIRCULATING IMMUNE CELLS AND THEIR CONTRIBUTION TO AGE-RELATED DISEASES
Bibliographic record
Abstract
The bulk of data in the field of biological aging are derived from blood analysis. Blood has three main roles during perfusion i) oxygen supply (red blood cells) ii) nutrient supply (plasma) and iii) immune surveillance (white blood cells). Cells that circulate in the bloodstream, the leukocytes, are very reactive to their environment and many studies have shown these immune cells’ characteristics to be different in older adults. Changes in the immune response underline the increase in many diseases with aging such as infections, cancer and autoimmune diseases. These last years tremendous advances have made in our understanding of the changes of the immune functions with aging and how they can contribute to the major age-related diseases. This symposium will aim to update the scientific community on 1) how the immune system is shaped during aging 2) how immune cells contribute to diseases 3) mechanisms (signalling, metabolic) explaining those observations 4) the role of inflammation.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".