Mudanças estruturais no mercado brasileiro de milho: Impactos na oferta, avaliação do armazenamento sob condições de incerteza e assimetria de transmissão de preços
Bibliographic record
Abstract
This paper estimates the monthly corn supply in Brazil in terms of harvesting pace (first and second crops) and demand (domestic consumption and exportation) in the period between February 2001 and January 2018.The Brazilian corn market went through important structural changes in the first two decades of the twenty-first century, with higher supply in the second crop and growing exportations.This paper aims to identify and analyze the changes in the monthly corn supply in the Brazilian market.Results indicate that the increase in the second crop corn moved the months with higher inventories in Brazil to the third quarter of the year (July, August and September).Exportations are the highest in the following months (October, November and December), contributing for the fast supply decrease in the domestic marketavailability in Brazil is the lowest in the first quarter of the year (January, February and March).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".