The Role of Plant Hormone on Root Development
Bibliographic record
Abstract
Plant hormones, commonly referred to as phytohormones, are distinct chemical substances that are created by plants and are essential in controlling numerous aspects of plant growth and development. These hormones are created in particular sections of the plant, like the shoot apex or the root meristem, and are then transferred to other parts of the plant where they have their effects in tiny, concentrated amounts. The influence of a particular hormone can vary depending on the target tissue it acts upon, and the interplay between different hormones is crucial for proper plant development. Auxin, abscisic acid, ethylene, gibberellins, cytokinins, salicylic acid, strigolactones, brassinosteroids, and nitrous oxide are the most common plant hormones. Each hormone has specific roles and functions in plant physiology. For example, auxin is involved in controlling cell elongation, tropisms, and root initiation, while abscisic acid regulates seed dormancy and stomatal closure in response to water stress. Ethylene influences fruit ripening and senescence, and gibberellins promote stem elongation and seed germination. Cytokinins regulate cell division and shoot formation, while salicylic acid is involved in plant defense mechanisms against pathogens. Strigolactones are important for root development and symbiotic interactions, and brassinosteroids play a role in various growth processes. Nitrous oxide, although primarily known for its role in atmospheric chemistry, has been shown to have effects on plant growth as well. Under stressful conditions, such as drought, high salinity, or extreme temperatures, these hormones play a crucial role in enabling plants to tolerate and adapt to their surroundings
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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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".