Forms of microelements in apple leaves under different conditions of iron and zinc nutrition
Bibliographic record
Abstract
The research was carried out with the aim of studying the influence of various zinc (Zn) and iron (Fe) concentrations in the nutritive medium on the accumulation of inorganic and organic forms of Fe, Zn, manganese (Mn), and copper (Cu) in apple leaves (Malus cv. Prima) during the period of vegetation. This investigation revealed processes of Fe synergistic and antagonistic interactions with a number of elements on their flux into plants. Sufficiently low concentrations of inorganic Fe forms (3–24% of the total element content) present as ions (nonabsorbed and unbound in organic complexes by cell organelles) were found during the vegetative period of apple seedlings. The low content of inorganic Fe forms is an indication of the relatively low mobility of Fe compounds in plants. There was a tendency towards abnormal accumulation and transport of Fe, Zn, Mn, and Cu with excess or deficiency of Zn or Fe in the nutrient medium.
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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 | 0.000 |
| 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".