In vivo cell biology using Gal4 mediated multicolour subcellular labelling in zebrafish
Bibliographic record
Abstract
The behaviour of a cell is determined by the interplay of its subcellular components. Thus, being able to simultaneously visualize several organelles inside cells within the natural context of a living organism could greatly enhance our understanding of developmental processes. We have established a Gal4-based system for the simultaneous and cell type specific expression of multiple subcellular labels in transparent zebrafish embryos. This system offers the opportunity to follow intracellular developmental processes in a live vertebrate organism using confocal fluorescence time-lapse microscopy. Using this approach we recently showed that the centrosome neither persistently leads migration nor determines the site of axonogenesis in migrating neurons in the zebrafish cerebellum in vivo. Here we present additional in vivo findings about the centrosomal and microtubule dynamics of neuroepithelial cells during mitotic cleavages at early neural tube stages.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".