Preliminary Results on Nickel Concentrations in Soil, Leaves and Fruits of Apple and Peach Orchards in Northern Greece
Bibliographic record
Abstract
Relatively little is known about the role of Ni in plant nutrition, physiology and metabolism, especially in woody perennial species. Preliminary results in 2004 in 28 samples of various fruits of several regions of Greece, showed that in 10 samples Ni concentration was zero. The scope of this research was to make a first attempt to investigate whether the previous results was a result of Ni deficiency in the soils or an inability of certain species to absorb Ni from the soil. The research was carried out in two orchards with different soil Ni concentrations. In both orchards, the higher Ni concentration in apple fruits was measured for the cultivar Red Chief. However, leaf Ni concentration of the same cultivar wasn’t so high indicating that the translocation and redistribution of Ni to the fruits is a characteristic of this cultivar.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".