A μMRI Atlas of Quail Development
Bibliographic record
Abstract
The accessibility to the avian embryo has allowed detailed developmental studies and has long been a favorite of classical embryologists. Embryonic atlases provide a standard reference for anatomical development. Traditional avian developmental atlases are composed of photographs of histological sections with descriptive text and clarifying illustrations. These atlases are invaluable references for understanding the complex anatomy which emerge during embryogenesis. We are developing an alternative and complementary avian atlas based on microscopic Magnetic Resonance Imaging (μMRI), a non‐destructive imaging modality. Currently, our atlas encompasses embryonic day 5–10 (E05–E10) ex ovo and E10,11 and E13 in ovo. μMRI requires no sectioning for imaging internal anatomy of opaque specimens and allows minimal handling thus preserving physical integrity of the developing embryo. As our atlas is 3‐D and digital, a user can interactively explore the virtual embryo. Additionally, the atlas can serve as a framework for mapping and linking to other spatially distributed data types, such as gene expression, cell migration routes, and fatemaps, etc.
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 | 0.001 |
| 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) | 0.016 | 0.003 |
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".