International Association for Plant Taxonomy 2021 Stebbins Medal
Bibliographic record
Abstract
The Stebbins Medal was first awarded in 2003 in honour of the American botanist and geneticist George Ledyard Stebbins , one of the world's leading plant evolutionary biologists of the 20th century.The medal is awarded biennially by IAPT for an outstanding paper in phylogenetic systematics and evolution of plants.The 2021 award considered papers published in 2018 and 2019.In their paper, Dunning & al. presented the most thorough and far-reaching study to date that convincingly demonstrates extensive lateral gene transfer (LGT) in plants.By comparing genomes of many grasses, they showed that large blocks of DNA containing functional genes are laterally passed among species that are distantly related across the grass phylogeny.Through stringent phylogenomic analyses, they discovered 59 LGTs clustered on 23 laterally acquired genomic fragments that are up to 170 kb long in the genome of the grass Alloteropsis semialata (R.Br.)Hitchc., involving at least nine different donor species.They also showed that some of these
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.010 | 0.009 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.158 | 0.235 |
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".