Tropical Viticulture Diagnosis in the North and Northwest Fluminense
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Viticulture has proved to be an alternative for farmers in the northen and northwestern Rio de Janeiro State; however, the activity is still very recent and requires the development of agronomic and managerial techniques. Therefore, the objective of this work was to diagnose the production areas and the characteristics inherent to the inner and outer environment of this farming enterprise. It was observed that the grape-growing farms predominate in an average area of 1 hectare, with productivity between 20 and 25 t/ha, with offer in the harvest and in the off-season. The inner points are stronger than the weak ones, and can be adjusted with the joint execution of the viticulturists allied to the opportunities, such as agrotourism and the diversification of available cultivars that allow a greater offer of the product and minimize the inherent threats observed, such as climatic variations and the shortage of skilled labor. These identified points may indicate competitiveness strategies for the wine market in the studied regions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it