From genes to patterns: Auxin distribution and auxin-dependent gene regulation in plant pattern formation
Bibliographic record
Abstract
It has long been recognized that the plant hormone auxin plays integral roles in a variety of plant processes. More recently, it has become clear that these processes include some of the most basic pattern formation mechanisms needed to establish a functional plant body. Considerable insight into how this regulation plays out at the molecular level has been attained in recent years. Of special note are the complementary actions of the auxin efflux carrier proteins responsible for the formation of instructive auxin concentration gradients and the transcription factor complexes required for the appropriate interpretation of such instructions. The numerous players involved and the complexity of their regulation provide insight into how a single plant hormone can operate in such a multifunctional fashion. Many new features of auxin action can now be quantified and visualized, and three-dimensional models of auxin patterning can be tested and mathematically modeled. With these new advances, the developmental biology of auxin-mediated patterning has turned into a subject of plant systems biology research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".