Bibliographic record
Abstract
Cilia play crucial roles in numerous biological processes, from cell signaling to tissue homeostasis, and their dysfunction can lead to a group of disorders known as ciliopathies. Zebrafish ( Danio rerio ), due to its genetic tractability and transparency during early development, has become an important model organism for studying ciliary development and related diseases. This study analyzes the stages of ciliary development in zebrafish, including tissue-specific processes and the role of key signaling pathways, and explores how zebrafish models contribute to understanding various ciliopathies. It emphasizes genetic manipulation to induce ciliary defects and phenotypic analysis, and describes key observational techniques in zebrafish ciliary research, including high-resolution imaging, genetic markers, and fluorescent reporters. Case studies demonstrate the application of zebrafish in studying human ciliopathies, such as Joubert syndrome, Bardet-Biedl syndrome, and nephronophthisis, as well as kidney and liver ciliopathies. It is expected that this study will provide reference value for future research on ciliary related diseases, promote the understanding of the pathological mechanisms of fibrotic disorders, and develop treatment strategies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".