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
Growing knowledge in immunology has outpaced the development of unifying concepts that explain how molecular circuits generate immune goals-strong response to pathogens, self-tolerance, and prevention of collateral damage. Here, we propose that excitability, a concept from dynamical systems, provides these goals in diverse contexts. An excitable system produces a large response pulse when stimulus crosses a threshold and then shuts itself down, followed by a refractory period. We mathematically screen thousands of cytokine and cell circuits to identify the handful that can show excitability. Of these, a single robust circuit is Pareto optimal for speed and strength-an effector that induces itself and induces its inhibitor. This circuit appears dozens of times in the human immune network, whereas the suboptimal circuits do not. It explains data on severe acute respiratory syndrome coronavirus 2, autoimmune flares, and tumor immunity and suggests therapeutic targets. Excitability may unite our understanding of immune circuits.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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