Transcriptomic data during seed maturation in dormant and non-dormant genotypes of wheat (Triticum aestivum L.)
Bibliographic record
Abstract
The present data profiles a large scale transcriptome changes in seed tissues (embryo and endosperm) during maturation in dormant and non-dormant genotypes of hexaploid wheat. Seed dormancy is an adaptive trait that has a significant influence on the incidence of preharvest sprouting, which is referred to as the germination of grains on the spike prior to harvest, in wheat. Given that preharvest sprouting causes a substantial yield and quality losses, elucidation of the molecular features that regulate seed dormancy has a paramount significance in the development of preharvest sprouting resistant wheat cultivars. The data presented here was produced from total RNA/mRNA samples isolated from developing seeds of dormant and non-dormant wheat genotypes using the Affymetrix GeneChip Wheat Genome Array. The raw and normalized formats of these data are available in Gene Expression Ominbus (GEO), NCBI's gene expression data repository, with accession number GSE83077.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".