Vein patterning and evolution in C<sub>4</sub>plants
Bibliographic record
Abstract
The C4photosynthetic pathway provides a platform to gain insight into the formation, regulation, and biological consequences of leaf vein pattern modification. This review examines the functional role of the vascular system in C4photosynthesis and the development of veins in C3and C4plants, highlighting the contribution of vasculature in the evolution of the C4pathway. With interest in developing C3plant crops into C4systems, it is essential to understand vascular patterning as a necessary element for C4functioning. Leaf venation in C4plants generally shows a higher vein density through a greater network complexity (more veins) compared with the ancestral C3condition. Thus, C4plants can provide a model that links the development of vein patterning with evolutionary selection pressures and molecular mechanisms (i.e., modifications of different components of vascular development). Numerous studies, including a comparative C3and C4Flaveria case study, highlight that the overall process of vein formation and patterning is complex, involving interactions between procambium and ground meristem during leaf ontogeny, and points to potential roles of changes in auxin production, transport, and perception.
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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 | 0.001 | 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".