The Agribusiness of Sugarcane and Its Expansion in the State of Goiás
Bibliographic record
Abstract
Sugarcane is an important crop in Brazil. The objective of this work was to evaluate the expansion areas, especially in the state of Goiás, in order to contribute to the understanding of sugarcane agribusiness. In the methodology used, data were obtained from IBGE and from ÚNICA and other sources, from 1980 to 2020. The results showed that in the Cerrado, especially in the states of Goiás and Mato Grosso do Sul, there has been an expansion of sugarcane areas since the end of the last century, but that it was optimized in the mid-2000s. These are located predominantly in the southern region of Goiás, particularly in the southwest micro regions; Quirinópolis, Meia Ponte and Vale do Rio dos Bois. One fact to highlight is that the expansion occurs preferably in areas of grain cultivation and supplementary pasture, in fertile soils and with the use of technology.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".