Bibliographic record
Abstract
White matter of the brain and spinal cord is susceptible to anoxia, ischemia, trauma and autoimmune attack. Irreversible injury to this tissue can have serious consequences for the overall function of the CNS through disruption of signal transmission. Like neurons, central myelinated axons are critically dependent on a continuous supply of oxygen and glucose. Injury causes failure of the Na-K-ATPase and accumulation of axoplasmic Na through non-inactivating Na channels, which, together with membrane depolarization, promotes reverse Na-Ca exchange and axonal Ca overload. An equally important source of deleterious Ca originates from intracellular stores, released in part by a mechanism similar to "excitation-contraction coupling" in muscle, involving activation of ryanodine receptors by L-type Ca channels. Excitotoxic mechanisms also play an important role: glutamate released by reversal of Na-dependent glutamate transporters activates AMPA/kainate receptors to cause injury to glia and myelin. Excessive accumulation of cytosolic Ca in turn activates various Ca-dependent enzymes such as calpains, phospholipases and others resulting in irreversible injury. Reoxygenation paradoxically accelerates injury in many axons, and promotes cytoskeletal degradation. Blockers of voltage-gated Na channels represent an attractive therapeutic target because of their ability to simultaneously interfere indirectly with several Ca sourcing pathways. Alternatively, or additionally, AMPA/kainate receptor inhibition has also been shown to be neuroprotective in several white matter injury paradigms. In the clinical setting, optimal protection of the CNS as a whole in common disorders such as stroke, traumatic brain and spinal cord injury, will likely require combination therapy aimed at unique steps in gray and white matter regions, or intervention at common points in the injury cascades.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.007 |
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".