Nutritional status of Elm (Ulmus glabra Huds.) trees in National Botanical Garden of Iran
Bibliographic record
Abstract
The National Botanical Garden of Iran (NBGI) with an area of 145 hectares contains various plants with different ecological requirements, including trees, shrubs, herbs and ornamentals. Weakness and decline of some tree species including Elm trees of botanical garden is one of the problems, which considered as the main priorities to be investigated by the garden authorities. Soil productivity and plant nutrient were concerned to be studied. For this reason, soil samples were taken from three layers of each profile (0-10, 10-30 and 30-100 cm) around Elm trees, after studying the soil profile morphology. Leaf sampling was made at appropriate time in order to test N, P, K at first year and N, P, K, Ca, Fe, Mn and Zn at second year. Results showed that the soil texture was sandy, organic mater was low and pH was alkaline. The mineral elements were lower than the optimum range in soil and tree leaves. It can be concluded that increasing soil organic matter, adding adequate amount of manure and chemical fertilizers to soil and applying appropriate irrigation regime might improve the plants health and growth and prevent their decline.
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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 | 0.001 |
| 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".