Bibliographic record
Abstract
The loss of tissue perfusion represents the pathological basis underlying acute cerebrovascular events. The occlusion of the brain's blood supply by intravascular thrombotic and/or atherosclerotic phenomena results in a disruption in tissue oxygen and glucose delivery. This inevitably impairs the cell's capacity to synthesize ATP. Despite initial attempts to maintain consistent ATP stores through anaerobic glycolysis and adenosine release, the starving tissue experiences loss of membrane ionic gradients, secondary to the inactivation of the Na+/K+ ATPase pump. A significant increase in intracellular calcium concentration is triggered by the activation of voltage- gated calcium channels, the activation of ligand-gated calcium channels, and by the inactivation of the Na+/Ca+ exchanger. In addition, massive release of the main excitatory, inhibitory, and monoamine neurotransmitters (many of which become excitotoxins at high concentration) is also observed. The above excitatory transmitters, such as glutamine, for example, play an important role in the over-stimulation of the NMDA receptor, which in turn promotes excessive calcium influx (1). The cytotoxic effects of calcium are associated with the activation of lipases, proteases, and endonucleases, as well as xanthine oxidase and neuronal NO synthase, capable of either direct or indirect destruction of cellular structures (2).
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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 | 0.002 |
| 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 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".