Bibliographic record
Abstract
The central nervous system (CNS) is characterized by an immense structural complexity with intimate associations of its constituent cell types: neurons and different types of glial cells, mainly oligodendrocytes and astrocytes. A century ago (1893) described what are now called protoplasmic astrocytes found in grey matter and fibrous astrocytes found in white matter. As their name implies, astrocytes are generally process-bearing cells. A characteristic of all astrocytes, but particularly those in grey matter, is the enormous surface area owing to the extensive branching of the cellular processes; this process formation results in astrocytes being structurally highly complex. The cellular processes of fibrous astrocytes are generally fingerlike, whereas those of the protoplasmic astrocytes are variable in shape and closely follow the contours of adjacent cells. The protoplasmic astrocytic processes often end as thin sheets that surround synapses (see Narlieva, 1988). The protoplasmic astrocyte can be divided into a number of distinct morphological forms (Palay and Chan-Palay, 1974; Kosaka and Hama, 1986). In addition, the cellular processes of astrocytes impinge on small blood vessels as perivascular endfeet and astrocytic foot processes also terminate on the pia mater forming the glia limitans (Peters et al., 1976).
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) | 0.001 | 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".