Climatic Variables and Their Effects on Phenolic Maturation and Potassium Uptake in Cabernet Sauvignon Wines
Bibliographic record
Abstract
The aimed at identifying and understanding the relationships of phenolic maturation and potassium uptake dynamics jointly with climatic variables for Cabernet Sauvignon variety. The experiment was carried out in Dom Pedrito, Rio Grande do Sul-Brazil, in the 2016 growing season. The experimental design was randomized blocks with treatments arranged in three replicates. The physical-chemical characteristics were measured: Density, Glucometric degree, Hydrogen ionic potential, Titratable Total Acidity, Total polyphenol index, Potassium, Phenolic maturity index. The periods preceding grapes phenolic maturation directly influence the physical and chemical conformity of must and wine. Potassium, pH and total acidity directly influence the poor phenolic maturation of Cabernet Sauvignon. Minimum and maximum air temperature, thermal amplitude, incident solar radiation and accumulated rainfall interfere in the photosynthetic dynamics, potassium accumulation in the grapes and phenolic maturation of Cabernet Sauvignon.
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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 | 0.000 | 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".