Bibliographic record
Abstract
The cerebellum has been studied for decades because of its simple three-layered cortex, yet complex connectivity. Although historically the cerebellum was thought to only be involved in motor functions, recent evidence has highlighted its involvement in non-motor functions, including in cognition and emotional regulation. The cerebellum is unique among brain regions as it arises from an area rich in patterning activity called the Rhombic Lip (RP), a germinal zone of the developing hindbrain. How cells of this region become increasingly restricted in their potential to give rise to the different cell types of the cerebellum is an active area of investigation. We describe a role for the transcription factor Cux2 in mainly specifying granule cell fates, and use genetic tools to image granule cell movement revealing the dynamic morphogenic events that shape the unique anatomy of the cerebellum. These findings support the view that the granule cell precursor pool is subdivided into distinct domains, the function of which remains unclear. Support or Funding Information Canadian Institutes of Health Research (MOP-115150) Fate map of Cux2-expressing granule cells (red) in the anterior folia of the cerebellum. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".