Genomic variation in Helianthus: learning from the past and looking to the future
Bibliographic record
Abstract
Helianthus is an economically important and genetically diverse genus, containing both evolutionary model species and cultivated species. Genetic variation within this genus has been examined at many different scales, from genome size changes to chromosomal structure to nucleotide variation. The growing amount of genomic resources within the genus has yielded insights into the importance of paleopolyploid events, and how transposable elements can cause rapid genome size increases. The rapidly evolving chromosomes in Helianthus have provided a system whereby it has been possible to study how chromosomal rearrangements impact speciation, adaptation and introgression. Population and quantitative genetic studies have used the abundant nucleotide variation to identify a number of candidate genes which may be involved in both local adaptation and domestication. The results from these investigations have provided basic knowledge about evolution and how to utilize genetic resources for both agriculture and conservation. Targeting Helianthus for further study as new technologies emerge will allow for a better understanding of how different types of genomic variation interact and contribute to phenotypic variation in a complex system that is ecologically and economically significant.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".