Bibliographic record
Abstract
The initial response of microglia to ischemia and ischemia-like conditions was analyzed in situ and in vitro. After sublethal ischemia in situ, microglia appear activated morphologically, but do not express macrophage-like antigens. In contrast, neuronal damage induces full expression of immunomolecules in microglia. Additionally, blood-borne cells readily infiltrate the region of the ischemic core and constitute another source of cells with macrophage-like expression. Thus, it appears that the microglia are the earliest cells to respond to injury, but their response is graded and complicated by the presence of blood-borne immune cells. In vitro ischemia-like conditions caused an irreversible depolarization, ion channel shutdown, and blebbing, indicating that microglia are not equipped to withstand an ischemic insult. Application of ATP alone to microglia produced outward currents and calcium transients and these calcium transients increased when ATP was applied in combination with high potassium. It is known that both outward currents and calcium transients are induced during spreading depression, a feature of focal injury, and this suggests that spreading depression might be one of the initial activators of microglia.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".