Silicon application for the production and quality of raspberry fruit in a subtropical region
Bibliographic record
Abstract
Abstract The objective of this work was to evaluate the effect of silicon (Si) on the cultivation and quality of raspberries (Rubus idaeus). The experiment consisted of seven treatments and four blocks located in a subtropical region. Each plot consisted of three pots with one seedling of 'Batum' raspberry. In each pot, the treatment consisted of Si doses at 0, 50, 100, 200, 400, 800, or 1600 mg dm-3, which were applied to the soil 15 days after the transplanting of the seedlings. Field analyses were performed by measuring chlorophyll a and b, water potential, and production. Fruit were analyzed for color, firmness, respiratory rate, soluble solids, and pH. Fertilization with Si stimulates the increase of fruit number and of the raspberry production per plant. The Si application increases the fruit production and fruit firmness; however, it reduces the water potential and respiration rate.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".