Characterization of a Novel MicroRNA from the T-DNA Locus of Rosewood, an Activation-Tagged Poplar Tree
Bibliographic record
Abstract
Plant phenomics refers to using the phenotype of mutants to identify genes responsible for a trait of interest. Our lab has created a large population of mutant poplar trees for studying phenomics. Poplar plays an enormous role in biotechnology and biofuel production. By having a large population of organisms with various mutations, genes and interacting partners may be identified. Specifically, we can identify genes responsible for tree stature, wood development, growth rate and pest resistance. The mutant rosewood is characterized by a vibrant red wood due to an accumulation of pelargonidin, the chemical that gives strawberries and cherries their red colour. Previous work on the mutant has shed light on the possibility of a microRNA regulating the biosynthesis of pelargonidin. Elucidating the function of the potential microRNA and its downstream targets will provide insight for applications in plant biotechnology. As well, it will be the first experimental validation of a microRNA in plants that regulates wood properties.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".