Bibliographic record
Abstract
Dscams (down syndrome cell adhesion molecules) play an important role in the formation of neural circuits. Various studies have highlighted the role of dscams in two major wiring strate- gies, self-avoidance and tiling, leading to broad and uniform branching. The Drosophila dscam1 protein, which has thousands of isoforms formed by alternative splicing, has been shown to confer unique identities to cells and mediate homotypic recognition, homophilic repulsion and consequently self-avoidance behavior between neurites of a single neuron. The Drosophila dscam2 protein mediates homophilic repulsion between projections from the same class of cells, in a process called tiling. The vertebrate dscam has been shown to mediate both tilingand self-avoidance. however, the mechanisms by which this is accomplished in the absence of homotypic recognition are unclear. This review provides an overview of functional similarities and differences between dscam homologues in invertebrate and vertebrate species, and describes some mechanisms proposed to account for these differences.
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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 | 0.000 |
| 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 | 0.001 | 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 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".