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
Traumatic injury to the adult central nervous system (CNS) results in a rapid response from resident astrocytes, a process often referred to as reactive astrogliosis or glial scarring. The robust formation of the glial scar and its associated extracellular matrix (ECM) molecules have been suggested to interfere with any subsequent neural repair or CNS axonal regeneration. A series of recent in vivo experiments has demonstrated a distinct inhibitory influence of the glial scar on axonal regeneration. Here we review several experimental strategies designed to elucidate the roles of astrocytes and their associated ECM molecules after CNS damage, including astrocyte ablation techniques, transgenic approaches, and alterations in the deposition of the ECM. In the short term, mediators that modulate the inflammatory mechanisms responsible for eliciting astrogliotic scarring hold strong potential for establishing a favorable environment for neuronal repair. In the future, the conditional (inducible) genetic manipulation of astrocytes holds promise for further increasing our understanding of the functional biology of astrocytes as well as opening new therapeutic windows. Nevertheless, it is most likely that, to obtain long distance axonal regeneration within the injured adult CNS, a combinatorial approach involving different repair strategies, including but not limited to astrogliosis modulation, will be required.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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