A competitividade das exportações agrícolas brasileiras para o Canadá
Bibliographic record
Abstract
O agronegocio brasileiro e responsavel por cerca de 40% da pauta de exportacoes brasileira. Nesse contexto, o Canada e um importante mercado das exportacoes agricolas brasileiras, pois em 2006, importou US$ 168.7 milhoes em produtos agropecuarios do Brasil. O objetivo deste estudo foi selecionar produtos agropecuarios prioritarios em curto, medio e longo prazos que apresentassem maior potencialidade para o incremento das exportacoes brasileiras para o Canada. Essa pesquisa foi bibliografica utilizou fontes de dados secundarios. Os dados foram tratados com base no estudo Radar Comercial, elaborado pela Secretaria de Comercio Exterior (Secex), que cruzou e analisou diversos dados. Concluiu-se que 53 produtos agropecuarios sao prioritarios, os quais representaram US$ 6.777 bilhoes de potencial importador a ser explorado em curto, medio e longo prazos. Em curto prazo, foram selecionados 15 produtos, em medio prazos, 20 produtos e, em longo prazo, 18 produtos. Concluiu-se que 19 setores sao prioritarios e os 5 maiores setores representaram juntos 62,72% do total do potencial importador a ser explorado (PIE).
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".