Analysis of haploid development based on expression patterns of developmental genes in the medaka <i>Oryzias latipes</i>
Bibliographic record
Abstract
The abnormalities of haploid medaka embryos were characterized by comparative analysis of histologic sections and expression patterns of some developmental marker genes between haploids and diploids to clarify whether medaka haploids are useful for identifying mutants. During gastrulation, an obvious defect was first observed as a delay of epiboly and involution. This delay was shown to be caused not by the perturbation of mesoderm induction, but by widespread cell death and disorganization of cell arrangement in the blastoderm. This disorganization of cell arrangement was also detected in various organs, such as the brain, somite and notochord, at a late developmental stage. Ten days after fertilization, a small head and a short body axis were formed; these changes were also observed in haploid embryos in other species, but their cause is unknown. Based on the expression patterns of HNF3beta and goosecoid, it was demonstrated that a short and impotent prechordal plate induced near the marginal zone in haploid embryos was responsible for this defect. However, in these experiments it was also demonstrated that many major organs in haploids, such as the somite and notochord, differentiated incompletely but were present. Therefore, it was concluded that haploid screening is suitable for identifying mutations revealed by an obvious phenotype, such as dorsoventral polarity.
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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 | 0.000 | 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".