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
Human aging is a very complex process that occurs in an intricate biological and physiological setting. Many changes occur with aging and among the most important are changes in immune reactivity associated with cell differentiation stages and the phenomenon of inflammaging, understood as subclinical inflammatory readiness, manifested by elevated levels of proinflammatory factors. It was stated for a long time that this tandem occurs in parallel or eventually sequentially. However, recent evidence points to the fact that, as both originate from chronic antigen stimulation, they mutually drive each other. In this context, inflammaging is considered the basis of most age-related diseases (ARD). In this review concerning human inflammaging, we argue that inflammatory diseases develop during whole life as a diverted (excessive) normal immune reaction to specific stressors. Thus, inflammaging may not be the cause of these diseases; however, it can be the trigger of clinical manifestation of ARD. In this context, the best intervention should aim to regulate the balance between pro- and anti-inflammatory signals and the more appropriate reaction to chronic stimulations to avoid/delay the appearance of associated diseases.
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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.011 |
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