Bibliographic record
Abstract
Amyloid-enhancing factor (AEF) is a biological "activity" that is defined in the context of inflammation-associated amyloidogenesis (AA). When administered intravenously to mice followed by an inflammatory stimulus, such primed mice deposit substantial AA amyloid in spleen within 36-48 h. Since experimental induction of AEF is dependent on amyloidogenic protocols, and rapid AA amyloid induction is dependent on AEF, a strategy for AEF isolation is required to break into this circular process. AEF activity may be prepared from a variety of human forms of amyloid that include tissue containing any of Abeta, AA, ATTR, and AL amyloids. The preparation of an AEF extract from such human tissue is described using 4 M glycerol, which then may be used to induce splenic AA amyloid fibrils in mice as a source for the propagation of additional AEF and/or for the study of amyloidogenesis. The glycerol and AA fibril preparations are stable frozen for many years.
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 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) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".